I am a Software Engineer based in Germany with a unique blend of expertise in algorithmic simulation, multi-agent systems, and full-stack backend development. I combine deep academic rigor—such as running 9,000+ thesis experiments—with practical industry experience in Java, test automation, and CI/CD pipelines to build scalable, data-driven systems.

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Master's Thesis Project (TU Clausthal) — Agent-based simulation modeling emergency egress across 5 complex lecture hall layouts.

• Engineered custom Dijkstra-variant pathfinding and panic contagion dynamics to model up to 200 concurrent agents using NetLogo and Python.
• Executed 9,000+ BehaviorSpace parameter sweeps, proving that optimized seating and aisle structures reduce emergency egress time by 15–20%.

NetLogo Python Agent-Based Modelling Dijkstra Pandas Matplotlib NumPy

Interactive Web Tool — A real-time browser visualization showing how pathfinding algorithms explore grids to find optimal routes.

HTML5 CSS3 JavaScript Canvas API Algorithms

Full-Stack Scheduling Platform — A Spring Boot REST API and Thymeleaf web UI for academic timetabling, directly modelled on real coordinator workflows across multiple departments.

• Built an automatic conflict-detection engine that prevents any instructor or room from being double-booked, exposed through both a REST API and a server-rendered weekly calendar grid.
• Implemented role-based access control with Spring Security, enforcing Coordinator (full access) vs. Instructor (view-only) permissions at the service layer via @PreAuthorize — one rule shared identically by the API and the GUI.
• Shipped with Dockerized PostgreSQL, OpenAPI/Swagger documentation, and a JUnit 5 suite covering the conflict algorithm, the calendar-grid layout logic, and full-stack role-enforcement tests.

Java 17 Spring Boot 3 Spring Security Spring Data JPA Thymeleaf PostgreSQL Docker OpenAPI/Swagger JUnit 5

Pluggable Assessment Platform — An event-driven Java engine built to showcase object-oriented design and zero-coupling architecture.

• Implemented four classic GoF design patterns (Factory, Builder, Strategy, Observer) to fully decouple question authoring, interchangeable scoring rules, and progress tracking.
• Features a responsive Swing GUI with real-time countdown timers, a 120+ question self-validating Java knowledge bank, and polymorphic JSON persistence using Jackson.

Java 17 Design Patterns Swing GUI Jackson JSON Event-Driven JUnit 5

Automated Analytics & Reporting CLI — A Java command-line pipeline built to consolidate, analyze, and export student examination metrics at scale.

• Leverages the Java Stream API and OpenCSV to ingest batch exam datasets and compute complex statistical distributions (mean, median, rank, grade boundaries).
• Automates the generation of multi-sheet Excel workbooks using Apache POI and formatted PDF summary reports using Apache PDFBox.

Java 17 Stream API OpenCSV Apache POI Apache PDFBox JUnit 5

• Core Languages: Java 17 Python JavaScript SQL Bash/Shell NetLogo
• Architecture & Backend: Object-Oriented Design GoF Design Patterns Spring Boot Spring Security Spring Data JPA REST APIs Thymeleaf Stream API Node.js Maven
• Data Processing & Libraries: Apache POI Apache PDFBox OpenCSV Jackson JSON Swing GUI
• AI, Data & Simulation: PyTorch TensorFlow scikit-learn Pandas NumPy Multi-Agent Systems GOAL
• Cloud & DevOps: Docker Kubernetes Linux Jenkins GitHub Actions Git
• Testing & QA: Selenium WebDriver JUnit 5 TestNG JMeter Appium TDD/BDD
• Databases & Web: PostgreSQL MySQL SQL Server Oracle React HTML5/CSS3