Software engineer building ML-backed systems end to end: retrieval pipelines, computer vision on edge hardware, and the full-stack products around them.
Student Software DeveloperUniversity of Washington GIXJun 2026 – expected Dec 2026
Capstone operations platform for GIX Launch, UW GIX's capstone program: team formation, mentor matching, progress tracking, and presentation feedback. Now one app built for 150+ students and 140+ mentors across GIX Launch and ENGINE.
Software engineering intern, computer visionJun 2026 – present
Automated pipeline turning crane-mounted camera footage into survey-aligned aerial maps, migrated from an 8 GB Jetson to AWS.
SME knowledge-capture RAG system for a T-Mobile-sponsored project, with approval controls, citation lineage, and hallucination guardrails.
Production email-intelligence platform spanning Gmail sync, LLM triage, and a full-stack dashboard.
Onboard vision system that lets a quadcopter find a branch, decide whether it can grab it, and line up to land on it. Once perched, it can turn off its motors and keep watching.
End-to-end speech NLP pipeline classifying phrases as literal or idiomatic from raw audio.
I build systems where machine learning has to hold up under real load — retrieval pipelines, agent orchestration, streaming inference — and the full-stack surfaces that make them usable. Most of my recent work has been sponsored or team-owned, so the writeups here focus on architecture and the decisions behind it rather than repositories.
Graduating March 2027 and looking for ML systems or full-stack roles. Happy to walk through any of these in detail.