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+---
+name: Fraunhofer CML Zeugnis (Employment Reference)
+description: Fraunhofer CML Hamburg — Wissenschaftlicher Mitarbeiter, Sep 2018–Oct 2019, SCEDAS/ARTUS/MISSION projects, C#/Jenkins/Docker/ML
+type: project
+---
+
+# Fraunhofer-Center für Maritime Logistik und Dienstleistungen CML — Zeugnis
+
+> Issued: 31 October 2019 | 2 pages | Signed by: Kerstin Feichtinger (HR) + Prof. Dr.-Ing. Carlos Jahn (Director)
+
+---
+
+## Employment Facts
+
+| Field | Value |
+|-------|-------|
+| Company | Fraunhofer-Center für Maritime Logistik und Dienstleistungen CML |
+| Parent institution | Fraunhofer-Gesellschaft / Fraunhofer IML |
+| Location | Hamburg, Germany (Am Schwarzenberg-Campus 4) |
+| Start date | 01 September 2018 |
+| End date | 31 October 2019 |
+| Duration | ~14 months |
+| Contract type | Fixed-term (befristetes Arbeitsverhältnis) |
+| Title | Wissenschaftlicher Mitarbeiter (Research Associate) |
+| Department | Ship and Information Management |
+| Departure | Mutual agreement at Dennis's request ("auf Wunsch … im beiderseitigen Einvernehmen") — employer regrets but understands |
+| Director | Prof. Dr.-Ing. Carlos Jahn |
+
+---
+
+## Confirmed Responsibilities & Projects
+
+### SCEDAS® (Crew Scheduling Software)
+- Software development in **C#, Entity Framework, Microsoft SQL Server**
+- Set up and configured **Jenkins** + created build jobs for **automatic deployment** (CI/CD) of SCEDAS®
+- Bug fixing and support for SCEDAS®
+
+### ARTUS (Research Project — Sea Rescue Transcription)
+- Developed **speech recognition** and **ML** components
+- Goal: automatic transcription system for sea rescue operations
+- Domain: NLP / speech-to-text in safety-critical maritime context
+
+### MISSION (Research Project — Maritime Data Exchange Platform)
+- Developed **microservices** for a maritime data exchange platform
+- Tech: **EXPRESS.js, JavaScript, Docker, SQLite**
+
+### Additional
+- Participated in study on new IT technologies and applications in maritime performance optimization and monitoring
+- Contributed to **research grant proposal** for predicting optimal maintenance timing using ML
+
+---
+
+## Tech Stack Confirmed by Zeugnis
+
+| Category | Technologies |
+|----------|-------------|
+| Languages | C#, JavaScript |
+| Frameworks | Entity Framework, EXPRESS.js |
+| Databases | Microsoft SQL Server, SQLite |
+| DevOps | Jenkins, Docker, CI/CD |
+| ML/NLP | Speech recognition, ML model development |
+| Domain | Maritime logistics, sea rescue, crew scheduling |
+
+---
+
+## Performance Rating (German Zeugnis Decode)
+
+| Phrase | Interpretation |
+|--------|---------------|
+| "stets zu unserer vollen Zufriedenheit erledigt" | "gut" tier (second of five) — solid, not top-coded |
+| "Erwartungen in jeder Hinsicht gut entsprochen" | Met expectations in every respect |
+| "überdurchschnittliche Arbeitsqualität" | Above-average quality |
+| "absolut selbständige Arbeitsweise" | Fully independent working style — strong signal |
+| "äußerst umfangreiches und fundiertes Fachwissen" | Extremely extensive and sound expertise |
+| "hohe Zielorientierung und Systematik" | High goal-orientation and systematic approach |
+| "persönliches Verhalten war immer einwandfrei" | Conduct flawless |
+| "in jeder Hinsicht erfolgreichen Leistungen" | Successful in every respect (positive close) |
+
+**Overall grade: gut (good) — strong Zeugnis for a research role.** Rating is one tier below Bosch. "Vollen" (not "vollsten") Zufriedenheit is the formal "gut" signal in German Zeugnis coding. Context: research positions typically use slightly more reserved language.
+
+---
+
+## Resume/CV Bullet Seeds (Fraunhofer position)
+
+1. Developed speech recognition + ML pipeline for ARTUS, an automatic sea rescue transcription system — first application of NLP in Fraunhofer CML's maritime safety domain
+2. Built microservice architecture for MISSION maritime data exchange platform using Docker, Express.js, and SQLite
+3. Established CI/CD pipeline for SCEDAS® crew scheduling software via Jenkins; automated build and deployment process
+4. Contributed to ML-based research grant proposal for predictive maintenance timing in maritime operations
+5. Developed and maintained SCEDAS® application features in C#, Entity Framework, and SQL Server
+
+---
+
+## Provenance Notes
+
+- **ARTUS and MISSION** are named research projects — safe to cite by name
+- **Speech recognition / ML** — "Entwicklungstätigkeiten" = development work; use hedged verb ("Contributed to" or "Developed components for") as this was research team work, not sole development
+- **SCEDAS® CI/CD** — explicitly listed as his task; full ownership verb appropriate (Established, Configured)
+- **Research grant proposal** — "Mitarbeit" = contributed; use "Contributed to" not "Led"
+- **Fixed-term contract** — normal for research positions; no need to note on resume