Software and data engineer focused on building reliable, scalable systems. Background in chemical engineering, now working at the intersection of data platforms, backend systems, and applied AI.
- Designing and operating data-intensive systems
- Building production-grade ML and LLM-powered services
- Backend and platform engineering with a focus on reliability and scale
Languages
- Python, Rust, Typescript
Data & ML
- Polars/Pandas
- Apache Airflow
- LLM tooling (OpenAI SDKs, Google ADK)
Backend & Infrastructure
- FastAPI, Django, Axum REST APIs
- AWS, Docker, Linux. Kubernetes
- PostgreSQL, MongoDB
- Scalable data platforms
- LLM system design & evaluation
- High-performance backend services
- Developer experience and internal tooling
📫 Open to collaboration, research, and interesting engineering problems.