I'm drawn to the foundational parts of software — how systems are architected, how data flows through them, and how they stay fast and correct as they grow. My interests run across distributed systems, backend and API design, data engineering, cloud infrastructure, and machine learning.
Over the past few years I've designed and shipped software in very different settings: large-scale data platforms and event-driven services in banking, backend automation and release tooling in automotive, geospatial data pipelines, and computer-vision and NLP research. That range taught me to pick up new stacks quickly and to reason about trade-offs rather than attach myself to any single technology.
I recently completed my M.S. in Data Science at UC Irvine, and I'm looking to grow as an engineer who can own systems end to end — backend, distributed systems, platform and infrastructure, or ML-facing engineering. I'm at my best on hard problems that reward solid engineering and a little invention.
Read the full resumeRecently graduated with an M.S. in Data Science from UC Irvine, and open to software engineering roles across backend, distributed systems, platform and ML engineering.
Computer-science fundamentals through to systems, data and modern ML.
Banking, automotive and research — the domains, and the tools I used in each.
Selected projects spanning distributed systems, multi-agent AI and computer vision.