I work at the intersection of software engineering and artificial intelligence, taking models from experiment to deployed service: reliably, efficiently and with maintainable code.
- LLM Engineering: retrieval-augmented generation (RAG), fine-tuning (LoRA / QLoRA), conversational agents and prompt design
- Computer Vision: object detection, OCR, open-vocabulary grounding (Grounding DINO) and recognition pipelines
- Backend & APIs: RESTful services with FastAPI and Django, relational and vector databases
- MLOps: containerized deployment, CI/CD for ML, model monitoring and reproducible training
Example workflow: Grounding DINO training notebook
I'm open to discussing AI system design, open-source collaboration and engineering opportunities.
