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Profil
Hello, you can also call me Joe.
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Specialization: Automation Technology
Thesis: Unsupervised Muscle Fatigue Clustering Based on sEMG Signals using DeepCNN Autoencoders
Erfahrungen
• Developed and maintained C#/.NET backend services for a multi-tenant logistics platform serving Okala and TapsiMarket, supporting approximately 100K daily orders across 3,000 stores shared between tenants. • Achieved ~15 ms response time for the homepage store-list API using in-memory caching. • Rebuilt the legacy Delivery backend as MigMig; when the team's scope expanded from Logistics to Operational Excellence, developed a new monorepo from scratch with separate API and consumer services, improving the architecture and code. • Worked in a microservice and event-driven environment, integrating internal services through Kafka and internal or third-party systems through REST APIs and YARP-based gateways/BFFs. • Designed and built the backend of OLunch as a voluntary side project, covering user, order, and catering management with C#/.NET and SQL. • Wrote unit and integration tests with Testcontainers and used Prometheus, Grafana, Elastic APM, and EFK for monitoring and production diagnostics. • Built n8n automation and AI-assisted workflows with SQL, LiteLLM, and Langfuse for reporting, notification processing, and summarization
• Developed software for a robotic knee rehabilitation system, including a Raspberry Pi/PyQt interface for physiotherapy exercises, game interaction, and multiple drive/control modes. • Integrated CANopen, Beckhoff TwinCAT, Python, and MATLAB/Simulink; calibrated sensors and handled data acquisition and communication with the robot drive
• Taught Python and C in online and in-person sessions and designed and graded exercises, quizzes and programming projects.
• Developed a PyQt application for the company's analog current/voltage I/O cards, including data display, configuration and calibration through Modbus communication