Good fit for
- AI Platform / Founding Engineering
- Document AI, OCR, RAG and evidence processing
- Agent workflows with review and safe tool execution
- Full-stack product engineering close to system design
CV / short profile
Felix Golla
AI Platform Engineer · Document AI · RAG · Product Engineering
Profile
I work on AI and software systems that need to hold up in everyday use: documents, sources, review flows, data models and product logic. Currently as Founding AI Platform Engineer at Anso.
Anso: Document AI + Agent RuntimeRAG: thesis 1.0 + ITHET paper + awardNebenkostenBlitz: own SaaS live
Stack
- Primary: TypeScript, Node.js, PostgreSQL, React, Python
- AI / ML: RAG, OCR, embeddings, evaluation, ClearML, object detection
- Platform: Docker, GCP, CI/CD, auth, tenant-aware access control
- Also used: Angular, Vue.js, Java Spring Boot, GraphQL, Kubernetes, Redis
Experience
Built production Document AI and agent workflow infrastructure: runtime orchestration, safe tool execution, human approval, OCR/evidence processing and tenant-aware platform logic.
Computer vision work for recycling streams: object detection, cloud training, experiment tracking, data quality and tooling close to production.
B2B SaaS features, ERP frontends and integration work in mature product and platform contexts.
React-based SaaS interfaces and Azure AD B2C authentication flows.
Dialogflow/GCP, NLU pipelines and versioning for chatbot training data.
Education / research
- M.Sc. Digital Business Systems, TH Würzburg-Schweinfurt, 2022–2024
- Master thesis: RAG Educational AI System, grade 1.0
- ITHET 2024 paper; Hans-Wilhelm Renkhoff Award 2026
- B.Sc. Computer Science, Information Security, TH Würzburg-Schweinfurt, 2017–2021
- Exchange Semester, National Kaohsiung University of Science and Technology, Taiwan
Contact
felixgolla@gmail.com
A few lines about the role, project, data situation or existing prototype are enough.