▮ Hi, I'm @shuaixudev

ML & AI engineer
shipping agentic and secure systems
at scale.

I train end-to-end ML system, ship deep learning models, build LLM and agentic AI systems, taking them from research all the way to production. ML and AI agents are woven into my daily life — I love using them to solve everyday problems.

ML / AI Engineer LLM Safety Graph ML Agentic Systems
read case studies → let's talk
~/now.md
shuai@dev:~$ cat now.md
June 2026:
→ Personal research in LLM agent safety and trustworthy AI for medical / high-stakes domains.
→ Shipping agentic workflows into production at work, and into my own daily tooling.
→ ML modeling for 1000+ enterprise customers — bot defense and threat detection.
→ Active in open source — agentic-AI enthusiast and daily OpenClaw user.
→ Looking for: full-time ML / AI / LLM engineer roles in the Bay Area.
updated 2026-06-09 · auto-stale after 30 days

$ cat experience.md → Where I've shipped

$ cat education.md → Where I studied

$ ls -la projects/ → Things I've built

$ git log --not-mine → Open source I've shipped to

Selected merged PRs and contributions to repos I don't own.

$ find . -name "case-study-*" → Deep dives

$ grep -i "shuai" mentions/ → What people say

$ cat skills.json | jq '.character' → Character sheet

these are not self-rated. levels are derived from years × shipped projects × times i've debugged at 3am. click a row to see how the level was earned.

$ cat publications.bib → Published research

Peer-reviewed journal publications — statistical, time-series, and graph modeling contributions.

$ ls patents/ --pending → Patents filed

let's build something

I'm actively looking for full-time roles (not consulting or contract): ML Engineer, AI Engineer, LLM Engineer, Data Scientist, or SDE with ML/AI focus. Bay Area, remote-friendly. Strongest fit in agentic systems, LLM safety / post-training, applied ML for detection, and ML infrastructure.

imshuaixu@gmail.com → github linkedin