Skills
The technical areas I work across — from model training and serving to the backend and product engineering that ships them.
ML Systems
Training, evaluating, and serving models in production.
- Machine learning
- Deep learning
- Statistical modeling
- Model evaluation
- Model serving
- MLOps
AI Applications
Building products on top of modern AI.
- LLM applications
- Retrieval-augmented generation
- AI agents
- Structured model outputs
- Computer vision
- Intelligent automation
Backend Engineering
APIs and data infrastructure that hold systems together.
- Python
- FastAPI
- Django
- Node.js
- REST APIs
- PostgreSQL
- MongoDB
- Docker
Product Engineering
Turning ideas into reliable, shipped software.
- Problem framing
- System design
- User-centered development
- Observability
- Iterative development
- Vertical-slice delivery