Hi, I'm @shuaixudev

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

I build production ML for security — bot detection at millions of req/day, LLM safety alignment via GRPO/DPO, agentic automation that replaces 100-hour analyst loops with 30-minute pipelines. Currently at Fortinet, looking for the next problem worth solving.

ML / AI Engineer LLM Safety Graph ML Agentic Systems
~/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