Open to 2027 full-time ML engineering roles

Hey, I'm Shawn. I make ML work on messy data.

Data Science master's student at Michigan, focused on rare-event detection, operational monitoring, and reliable evaluation.

Based inAnn Arbor, MI

Work authorizationF-1 STEM · 36 months OPT eligible

3rd / 80eBay ML competition · solo

10 hrs/wksaved in alert triage

11.23 → 3.78flight-delay RMSE

01 / Experience

From research to production.

Production work, sponsored projects, and peer-reviewed research.

2026

ML Engineer Intern

Built an LLM workflow for 25 compliance alert types, cutting response from 22 steps to 9 and false-positive alerts from 40% to 10%.

2025

Student Machine Learning Engineer

Unified 1M+ flights and cut delay-minute RMSE from 11.23 to 3.78 with an XGBoost–random forest ensemble.

2022 — 2024

Research Assistant

Detected rare faults across 2.9M sensor records and developed a cost-effective inspection framework published in Scientific Reports.

02 / Selected systems

Selected ML and systems projects.

Extracted attributes from 10K German listings with XLM-R and a word-level CRF, finishing 3rd of 80 as a solo entrant.

PyTorchXLM-RCRF

Research-to-execution trading bot for event contracts, with Python modeling and sub-300 ms C++ execution.

Security assistant for retrieval and triage across 500K logs, backed by a Go service processing 3M events daily.

Cost-effective fault prediction through knowledge distillation and active inspection.

Toolbox

Tools I use to build and ship ML.