dennisthiessenandClaude Opus 5
b97dec978a
claims.json had zero hits for trading, finance or quant, so a real capability could not legally reach any document: the file is the highest-authority source and nothing outside it is claimable. Surfaced while assessing the Citadel Securities Platform Engineer req (Zurich), where domain fluency is exactly what was missing. PP-1 is the self-built investing/signal platform: US-equity price, fundamental and LLM-assisted sentiment ingestion, a long-only cross-sectional residual 12-1 momentum book with ATR stop/trail and max 15 concurrent names, scheduled scan and backtest pipelines, web dashboard and Telegram alerts. PP-2 is the Udacity AI for Trading nanodegree. Two allowed-with-context skills reference both. Written defensively, because this is the kind of entry a later run inflates. Each carries an explicit forbidden list: no PnL, Sharpe, return or backtest figure may EVER be quoted (none is verified); PP-1 is single-user and self-hosted, so never distributed, scalable, production or multi-user; neither implies professional quantitative, trading or finance experience; the nanodegree is never an academic or quant credential. Legitimate use is self-directed domain fluency plus an end-to-end ingestion/backtest/alerting build outside work. PP-1 is also the one claim where full-ownership verbs are correct - it is genuinely solo, unlike the employer work that Scope Discipline governs. Stated in the scope so the two rules do not collide later. JSON valid, validator PASS, 9/9 tests pass. Co-Authored-By: Claude Opus 5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01MHtzyTKBcg6BWhD5qFegtK
312 lines
18 KiB
JSON
312 lines
18 KiB
JSON
{
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"schema_version": 1,
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"last_verified": "2026-07-27",
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"authority": {
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"description": "Machine-readable source of truth for all future application documents.",
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"precedence": ["canonical claims", "config corrections", "verified references", "experience files", "bundles"],
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"raw_extractions_are_immutable": true,
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"historical_outputs_are_never_sources": true
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},
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"identity": {
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"name": "Dennis Thiessen",
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"degree_suffix": "M.Eng.",
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"email": "dennis@thiessen.io",
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"phone": "+41 795 955 585",
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"location": "Bern, Switzerland",
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"linkedin": "linkedin.com/in/dennis-thiessen",
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"citizenship": "German citizen (EU)",
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"swiss_permit": "B residence permit",
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"swiss_work_authorization": "Authorized to work in Switzerland; no visa or employer sponsorship required",
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"work_authorization_source": "User-confirmed 2026-07-27",
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"resume_usage": "Work authorization is optional in the header; mention the B permit or no-sponsorship status when it resolves recruiter uncertainty or the application asks for it",
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"languages": {"German": "native", "English": "fluent", "Norwegian": "basic", "Russian": "basic"},
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"forbidden_personal_data": ["date of birth", "marital status", "gender", "children"]
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},
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"education": [
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{
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"id": "EDU-MENG",
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"degree": "M.Eng. Computer Aided Engineering",
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"display_focus": "Software Design & Engineering",
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"institution": "Universitat der Bundeswehr Munchen",
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"start": "2012-04",
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"end": "2013-10",
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"thesis_institution": "Tongji University, Shanghai",
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"thesis_title": "Development of a Web-Based Remote Fault Diagnosis System",
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"thesis_grade": "1.0",
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"thesis_relative_grade": "ECTS B (top 35%); official certificate on file",
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"thesis_methods": "Verified against the thesis PDF 2026-08-02. Domain: vibration-based condition monitoring of CNC machine tools (piezoelectric accelerometers on spindle, tool rest, lathe body). Features: speed, load and the dimensionless waveform, peak, pulse, margin and kurtosis indices. Surveyed CBR, PSO, RBR and ANN; SELECTED a hybrid of rule-based reasoning (interpretable thresholds) plus a 7-10-3 feed-forward ANN (faultstates green/yellow/red) to handle noisy data that static rules cannot classify. Extensible plug-in architecture for swappable diagnosis methods and data collectors. Java/GWT client-server on MySQL. Evaluation measured throughput and latency, NOT model accuracy: the pipeline sustained ~500 samples/s against tri-axial vibration sensors delivering 72.9 kSPS, so the thesis concluded data reduction, filtering or batch scheduling is required for real-time use.",
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"thesis_limits": "PSO was SURVEYED ONLY and NOT used in the implementation -- never claim it as an applied method. No real operational data: training data came from a cited thesis, test data was modified plus a random generator. No model-accuracy figures exist. Back-propagation retraining was listed as future work, not implemented. Frame as a methods prototype/framework, never as a validated production predictive-maintenance system.",
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"transcripts_language": "English-language originals available for B.Eng. and M.Eng."
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},
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{
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"id": "EDU-BENG",
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"degree": "B.Eng. Information and Telecommunication Technologies",
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"institution": "Universitat der Bundeswehr Munchen",
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"start": "2009-10",
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"end": "2012-10"
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}
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],
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"employment": [
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{
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"id": "SWISSCOM",
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"employer": "Swisscom (Schweiz) AG",
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"location": "Bern, Switzerland",
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"display_title": "Staff Data, Analytics & AI Engineer",
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"start": "2023-10",
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"end": "present",
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"title_history": [
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{"title": "Senior Data, Analytics & AI Engineer", "start": "2023-10", "end": "2025-04"},
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{"title": "Staff Data, Analytics & AI Engineer", "start": "2025-04", "end": "present"}
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]
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},
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{
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"id": "BOSCH",
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"employer": "Robert Bosch Semiconductor Manufacturing Dresden GmbH",
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"location": "Dresden, Germany",
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"official_title": "Engineer / Senior Engineer, Data Analysis",
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"display_title": "Senior Engineer, Data Analysis (Data & ML Engineering)",
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"start": "2020-02",
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"end": "2022-12"
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},
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{
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"id": "FRAUNHOFER",
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"employer": "Fraunhofer-Center for Maritime Logistics and Services CML",
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"location": "Hamburg, Germany",
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"official_title": "Wissenschaftlicher Mitarbeiter",
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"display_title": "Research Software Engineer",
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"start": "2018-09",
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"end": "2019-10"
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},
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{
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"id": "VIZRT",
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"employer": "Vizrt",
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"location": "Bergen, Norway",
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"official_title": "Test Automation Engineer",
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"display_title": "Test Automation / DevOps Engineer",
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"start": "2017-07",
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"end": "2018-05"
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},
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{
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"id": "GENERALI",
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"employer": "Generali Deutschland Informatik Services GmbH",
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"location": "Hamburg, Germany",
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"display_title": "IT Consultant",
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"start": "2015-05",
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"end": "2017-06"
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},
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{
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"id": "CAPGEMINI",
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"employer": "Capgemini Deutschland GmbH",
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"location": "Hamburg, Germany",
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"display_title": "Software Engineer",
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"start": "2014-11",
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"end": "2015-05"
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}
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],
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"claims": [
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{
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"id": "SW-1",
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"scope": "Primary engineer for pipelines in owned Fulfillment and Product Analysis domains; contributor to the wider company migration.",
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"allowed_verbs": ["migrated", "implemented", "contributed"],
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"forbidden": ["led the migration of the legacy warehouse", "sole technical lead", "migrated the company warehouse", "owned the full migration"],
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"metrics": "unverified"
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},
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{
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"id": "SW-2",
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"scope": "Component Owner for business-critical Fulfillment ETL pipelines, including operation, data quality, governance, incidents and on-call obligations.",
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"allowed_verbs": ["own", "operate", "maintain", "serve"],
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"metrics": "unverified"
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},
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{
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"id": "SW-3",
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"scope": "Build and operate Python data applications on Kubernetes with GitLab CI/CD within the team environment.",
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"allowed_verbs": ["build", "deploy", "operate"],
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"metrics": "unverified"
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},
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{
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"id": "SW-4",
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"scope": "Deliver data products, dashboards and analyses with internal B2B stakeholders and product owners; not external consulting or strategic-account delivery.",
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"allowed_verbs": ["deliver", "translate", "partner", "support"],
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"forbidden": ["customer-embedded delivery", "strategic customer delivery", "C-suite advisor"],
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"metrics": "unverified"
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},
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{
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"id": "SW-5",
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"scope": "Mandatory rotating team Security Champion role for 2025/2026 only; not an award, certification or multi-year distinction.",
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"allowed_verbs": ["serve"],
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"forbidden": ["3 consecutive years", "2023-2026", "Security Champion x3", "owning DevSecOps compliance"],
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"metrics": "100 hours of training and an assessment are source-backed; use only when relevant"
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},
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{
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"id": "SW-6",
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"scope": "Hands-on PySpark use at Swisscom; scale and performance metrics are not verified.",
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"allowed_verbs": ["use", "develop", "process"],
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"metrics": "unverified"
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},
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{
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"id": "SW-7",
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"scope": "Build governed data products and onboard sources within Swisscom's company-wide Data Mesh; never claim ownership or construction of the shared mesh/platform. Atlassian Compass is the metadata/catalogue platform used for data-product metadata and lineage (user-confirmed 2026-07-29); Dennis uses it as a practitioner and does not administer or own the tooling.",
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"allowed_verbs": ["build", "model", "onboard", "contribute", "document", "maintain"],
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"forbidden": ["built a Data Mesh", "built the Data Mesh", "built AWS Data Mesh", "own the AWS data platform", "own the data platform", "own Atlassian Compass", "administered Compass", "rolled out Compass"],
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"metrics": "unverified"
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},
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{
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"id": "SW-8",
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"scope": "Configured domain-grounded LLM assistants in a Swisscom-owned web interface by selecting available models and supplying curated knowledge. Separate exposure includes LiteLLM API use, custom GPTs, Copilot and Kiro.",
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"allowed_verbs": ["configured", "used", "integrated"],
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"forbidden": ["built production LLM systems", "deployed LLM systems", "built LangChain", "agent orchestration", "formal LLM evaluation", "fine-tuned models"],
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"metrics": "unverified"
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},
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{
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"id": "BS-1",
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"scope": "Designed and executed integration of containerized ML inference into a 24/7 semiconductor production environment; model-development ownership is not established.",
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"allowed_verbs": ["integrated", "containerized", "deployed", "orchestrated"],
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"forbidden": ["trained the image classification model", "owned the full ML lifecycle"],
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"metrics": "qualitative reduction in manual classification is source-backed; exact amount unverified"
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},
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{
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"id": "BS-2",
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"scope": "Developed data services in Python, Java and C# over Oracle and Hadoop/Impala for internal analysis teams. Data types worked on (user-confirmed 2026-08-02): semiconductor fab sensor and process data -- defect management records, wafer inspection images, and electrical parameters from Process Control Monitoring (PCM). Relevant as genuine industrial sensor/asset-data experience.",
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"allowed_verbs": ["developed", "built"],
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"metrics": "unverified"
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},
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{
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"id": "BS-3",
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"scope": "Confirmed Application Owner responsibilities for analytics applications and upstream pipelines, including SLOs, vendors, training and documentation.",
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"allowed_verbs": ["served", "owned", "managed", "defined"],
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"metrics": "unverified"
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},
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{
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"id": "BS-4",
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"scope": "Built an ELK/Kafka anomaly-detection proof of concept and monitoring; not a company-wide observability platform.",
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"allowed_verbs": ["built", "implemented", "validated"],
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"forbidden": ["built the observability platform", "enterprise observability platform"],
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"metrics": "unverified"
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},
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{
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"id": "BS-5",
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"scope": "Co-owned the TIBCO Spotfire environment, built C# extensions and co-presented at TIBCO Analytics Forum 2022.",
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"allowed_verbs": ["co-owned", "built", "co-presented"],
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"metrics": "unverified"
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},
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{
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"id": "FC-1",
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"scope": "Set up Jenkins CI/CD and contributed to SCEDAS development and maintenance.",
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"allowed_verbs": ["set up", "developed", "maintained"],
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"metrics": "unverified"
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},
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{
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"id": "FC-2",
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"scope": "Contributed ML/NLP components to ARTUS; no publication or model-training ownership.",
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"allowed_verbs": ["contributed", "implemented", "supported"],
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"forbidden": ["led ARTUS", "trained the speech model"],
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"metrics": "unverified"
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},
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{
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"id": "FC-3",
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"scope": "Developed containerized microservices for the MISSION research platform.",
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"allowed_verbs": ["developed", "built"],
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"metrics": "unverified"
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},
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{
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"id": "VZ-1",
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"scope": "Contributed Python and C++ engineering to a distributed video-transcoding backend. Named broadcasters are product context, not direct delivery claims.",
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"allowed_verbs": ["developed", "engineered", "contributed"],
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"forbidden": ["for CNN, BBC and Al Jazeera", "delivered to CNN", "customer-embedded"],
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"metrics": "unverified"
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},
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{
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"id": "VZ-2",
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"scope": "Developed automated audio/video integration tests and connected quality gates to CI/CD.",
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"allowed_verbs": ["developed", "automated", "integrated"],
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"metrics": "unverified"
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},
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{
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"id": "GN-1",
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"scope": "Introduced BDD through a proof of concept and held technical responsibility for test automation, training and Jenkins jobs.",
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"allowed_verbs": ["introduced", "owned", "trained", "administered"],
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"metrics": "unverified"
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},
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{
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"id": "GN-2",
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"scope": "Developed UIPath RPA proofs of concept and acted as an internal contact.",
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"allowed_verbs": ["developed", "served"],
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"metrics": "unverified"
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},
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{
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"id": "GN-3",
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"scope": "Developed Java/J2EE workflow application features and contributed to integration proofs of concept.",
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"allowed_verbs": ["developed", "contributed", "migrated"],
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"metrics": "unverified"
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},
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{
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"id": "PP-1",
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"scope": "PERSONAL PROJECT (user-supplied 2026-08-25), not professional work. A self-hosted, single-user investing/signal platform Dennis built for himself: ingests daily US-equity prices, fundamentals and sentiment (LLM-assisted); runs one long-only cross-sectional momentum book (top-quintile residual 12-1 momentum, ATR stop/trail, max 15 concurrent names) through scheduled scan and backtest pipelines; surfaces gated setups in a web dashboard plus Telegram alerts. Legitimate use: evidence of self-directed trading-domain fluency and of an end-to-end ingestion/backtest/alerting build outside work. Full-ownership verbs ARE correct here -- unlike his employer work, this is genuinely solo.",
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"allowed_verbs": ["built", "developed", "designed"],
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"forbidden": [
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"any trading track record, PnL, return, Sharpe or backtest performance figure -- none is verified and none may ever be quoted",
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"calling it distributed, scalable, production or multi-user -- it is single-user and self-hosted",
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"implying professional quantitative, trading, finance-domain or investment-management experience",
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"presenting it as employer work or omitting that it is a personal project"
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],
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"metrics": "unverified"
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},
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{
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"id": "PP-2",
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"scope": "Udacity 'AI for Trading' Nanodegree, completed self-study (user-supplied 2026-08-25). Covers quantitative trading fundamentals -- factor construction, alpha signals, backtesting. Pairs with PP-1 as the formal half of self-directed domain grounding.",
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"allowed_verbs": ["completed"],
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"forbidden": [
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"listing it as an academic degree, professional certification or quant credential",
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"presenting it as equivalent to quantitative research or trading experience",
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"using it to qualify for quant, trader, researcher or portfolio-management roles"
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],
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"metrics": "unverified"
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}
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],
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"skills": [
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{"name": "Python", "evidence": "production-current", "output": "allowed"},
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{"name": "SQL", "evidence": "production-current", "output": "allowed"},
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{"name": "PySpark", "evidence": "production-current", "output": "allowed"},
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{"name": "Kafka", "evidence": "production-current", "output": "allowed"},
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{"name": "Airflow", "evidence": "production-current", "output": "allowed"},
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{"name": "AWS", "evidence": "production-current", "output": "allowed"},
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{"name": "CloudFormation", "evidence": "production-current", "output": "allowed"},
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{"name": "Atlassian Compass", "evidence": "production-current", "output": "allowed", "note": "Metadata/catalogue platform for data-product metadata and lineage at Swisscom (user-confirmed 2026-07-29). Practitioner use only — do not claim administration, rollout or ownership. Satisfies 'or similar metadata/catalogue platform' phrasing; is NOT a substitute claim for Purview, Collibra or Alation, which remain unevidenced."},
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{"name": "Kubernetes", "evidence": "production-current-and-historical", "output": "allowed"},
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{"name": "Docker", "evidence": "production-current-and-historical", "output": "allowed"},
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{"name": "Java", "evidence": "production-historical", "output": "allowed-with-context"},
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{"name": "C#", "evidence": "production-historical", "output": "allowed-with-context"},
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{"name": "C++", "evidence": "production-historical-limited", "output": "allowed-with-context"},
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{"name": "JavaScript", "evidence": "production-historical-limited", "output": "allowed-with-context"},
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{"name": "LiteLLM", "evidence": "hands-on-current", "output": "allowed-with-context"},
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{"name": "custom GPTs", "evidence": "hands-on-current", "output": "allowed-with-context"},
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{"name": "Kiro", "evidence": "hands-on-current", "output": "allowed-with-context"},
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{"name": "Copilot", "evidence": "hands-on-current", "output": "allowed-with-context"},
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{"name": "quantitative/systematic trading concepts", "evidence": "coursework-and-personal-project", "output": "allowed-with-context", "note": "Udacity AI for Trading nanodegree (PP-2) plus the self-built momentum platform (PP-1): factor construction, cross-sectional/residual momentum, ATR stops, backtesting. Self-directed only — NO professional quant, trading or finance experience. Never list under a Professional Experience skills line without the personal-project context, and never as a quant qualification."},
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{"name": "backtesting", "evidence": "personal-project", "output": "allowed-with-context", "note": "PP-1 scheduled backtest pipelines, personal scale. Never quote a result or performance figure."},
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{"name": "TensorFlow/Keras", "evidence": "certification", "output": "certification-context-only"},
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{"name": "PyTorch", "evidence": "coursework-or-personal-unverified", "output": "certification-context-only"},
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{"name": "TypeScript", "evidence": "unverified", "output": "forbidden"},
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{"name": "FastAPI", "evidence": "unverified", "output": "forbidden"},
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{"name": "Flask", "evidence": "unverified", "output": "forbidden"},
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{"name": "Django", "evidence": "unverified", "output": "forbidden"},
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{"name": "LangChain", "evidence": "never-used", "output": "forbidden"},
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{"name": "LangGraph", "evidence": "never-used", "output": "forbidden"},
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{"name": "LlamaIndex", "evidence": "never-used", "output": "forbidden"},
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{"name": "formal model evaluation", "evidence": "unverified", "output": "forbidden"},
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{"name": "LLM fine-tuning", "evidence": "unverified", "output": "forbidden"},
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{"name": "Azure", "evidence": "unverified", "output": "forbidden"},
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{"name": "GCP", "evidence": "unverified", "output": "forbidden"},
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{"name": "Terraform", "evidence": "unverified", "output": "forbidden"}
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],
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"global_forbidden_output_patterns": [
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"petabyte scale",
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"petabyte-scale",
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"own the AWS data platform",
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"LangChain-based",
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"customer-embedded delivery",
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"formal model evaluation",
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"3 consecutive years"
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]
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}
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