Terminal Capacity Solver & Discrete Simulation Engine
Replaced a mission-critical 15,900-formula manual Excel model with an automated Google OR-Tools CP-SAT constraint compiler and SimPy discrete-event simulation engine.
Computer Scientist & AI / Software Engineer
Software & AI Platform Lead at CargoBeamer AG. Specialized in discrete-event simulation (SimPy), mathematical constraint optimization (Google OR-Tools CP-SAT), high-throughput data engineering, and production agentic AI systems.
Discrete-event modeling with SimPy, Google OR-Tools (CP-SAT), AST formula parsing, and computational DAGs.
Model Context Protocol (MCP) server development, Langdock orchestration, enterprise RAG, and audio DSP pipelines.
High-throughput data migrations (1.38M records), asynchronous ETL, schema normalization, and REST/SSE services.
Full-stack development, automated Playwright regression testing, CI/CD pipelines, and rigorous type safety.
Replaced a mission-critical 15,900-formula manual Excel model with an automated Google OR-Tools CP-SAT constraint compiler and SimPy discrete-event simulation engine.
Production multi-agent system automating clerical damage claims triage across 1,800+ email threads, cutting processing time by 64% with zero liability risk.
Architected and deployed a production Model Context Protocol (MCP) server connecting Langdock enterprise agents directly to Odoo ERP/CRM for real-time asset tracking and maintenance dispatch.