13.03.2026 aktualisiert


100 % verfügbar
Senior Software Engineer
München, Deutschland
Weltweit
M.Sc. Robotics Systems EngineeringÜber mich
I build practical software for SaaS and industrial use cases, including production planning, quality, and AI/edge systems. I work across APIs, databases, integrations, and end-to-end delivery, using modern tools to deliver reliable results.
Skills
JavaScriptKünstliche IntelligenzC++SaasDebuggingLinuxProjektplanungEthercatPythonPostgreSQLQualitätsmanagementLagerverwaltungTypeScriptReact.jsGrafana
React, TypeScript, JavaScript, Full-Stack Development, Frontend Development, SaaS Development, REST APIs, Database Design, SQL, PostgreSQL, Supabase, Multi-Tenant Applications, Dashboard Development, Production Planning, Logistics Software, Quality Management, AI/ML, Edge Computing, Docker, Python, C++, Linux, Debugging, Git.
Erfahrung
Berufserfahrung5 - 10 Jahre
Freelancer seit2024
Sprachen
DeutschverhandlungssicherEnglischMuttersprache
Projekthistorie
- Built a multi-tenant manufacturing SaaS platform for quality and operations management using React, TypeScript, Vite, Supabase, and InfluxDB.
- Delivered modules for 8D supplier claims, Layered Process Audits, energy monitoring, OEE/performance tracking, AI production control, shift checklists, and tenant administration.
- Designed secure multi-tenant architecture with row-level security, modular APIs, and strict API boundaries.
- Implemented automated tenant-isolation testing and guardrails to validate schema coverage, RLS policies, and cross-tenant protection.
- Improved production readiness with Sentry observability, automated verification workflows, and deployment integration.
- Built a production planning and logistics SPA integrated with a Weclapp-backed API to surface stock KPIs, stock value, overstock, stock-out projections, and operational priority alerts.
- Designed production-pipeline and warehouse-routing workflows that group production orders by SKU, apply routing rules, and show allocated quantities and warehouse stock across fulfillment locations.
- Implemented a velocity-vs-forecast dashboard that compares stock-out scenarios, classifies SKUs by urgency, and highlights replenishment priorities based on projected demand risk.
- Delivered product lookup, BOM tree, and stock-projection workflows with configurable horizons, warehouse-level views, editable forecast persistence, and daily trend visualizations.
- Added multi-tenant front-end support, optional Supabase authentication, Excel export, i18n in English/German/Italian, and Zustand-based caching for responsive API-driven dashboards.
- Delivered an edge data pipeline connecting SMC presses and ATEQ leak testers via OPC UA, MQTT, and CSV to InfluxDB 2.x.
- Set up Telegraf ingestion and Grafana dashboards for live KPIs, traceability, and production monitoring.
- Developed and validated anomaly detection and quality models, including Isolation Forest with SHAP-based explainability, for early NOK detection.
- Designed shadow-mode validation and rollout criteria before production release.
- Deployed ML services as Docker workloads on Debian edge devices with offline capability, health checks, telemetry, rollback support, and workflow integrations via MS Teams and n8n.