How I Work
Engineering with systems thinking and product sense
I enjoy building systems that are grounded, maintainable, and useful. That means thinking carefully about data contracts, latency, reliability, monitoring, and the experience of the next engineer who has to extend the work.
AI Systems
RAG pipelines, LLM orchestration, structured outputs, routing, guardrails, and tool-integrated reasoning workflows.
Backend Platforms
FastAPI services, streaming consumers, APIs, async workflows, schema validation, and cloud-ready deployment patterns.
Data & Observability
Kafka, PostgreSQL, Databricks, PySpark, Prometheus, Grafana, and operational visibility for real systems.
Collaboration
Clear ownership, pragmatic architecture, readable code, and a strong bias toward shipping dependable software.