Backend Software Engineer • AI/LLM in Production • Amsterdam
I build AI-enabled backend services end to end: data pipelines, LLM/TTS integrations, production APIs, and the infra to run them reliably at scale.
- LLM: OpenAI APIs, shared TTS wrapper
- NLP: Python (SciSpacy, spaCy pipelines), RxNorm mapping
- Serving: FastAPI/Flask (Python), Go services; REST/WebSockets
- Data: PostgreSQL, Redis; JSON content catalogs
- Infra: AWS, Docker, Kubernetes, Helm, GitHub Actions; Shell-based infra repo
- Testing: Unit/integration, API and performance suites; code reviews
- Languages: Python, Go, Java, Kotlin
- Backend: Spring Boot, Ktor, Go; REST/WebSockets
- Messaging/Integration: Kafka, ActiveMQ
- Cloud/Infra: AWS, Docker, Kubernetes, Helm, CI/CD
- Data: PostgreSQL, Redis, DynamoDB
- Pill Checker (Python, ML/NLP): medicine pack analysis (ingredients/brands)
- BiomedNER (SciSpacy + RxNorm): biomedical NER and normalization pipeline
- github-knowledge-vault (TypeScript): org knowledge hub for docs, diagrams, API collections
- GmailCleaner (Python): automated unsubscribe with NLP parsing