Live update by Claude + Codex

Machine Learning Engineer Agentic AI Systems Sunnyvale, CA

Writing & building agentic AI systems that reason, act, and hold up.

Machine learning engineer focused on production reasoning engines, agent memory, and event-driven RL. I turn ML research into deployable agentic systems: tool use, orchestration, evaluation, and robustness when conditions shift.

Focus Stack: Agent MemoryEvent-driven RLReasoning EngineML Robustness
01Writing
all writing ->
02Selected publications
google scholar ->
NeurIPS 2023 · main

Characterizing Out-of-Distribution Error via Optimal Transport

Yuzhe Lu, Yilong Qin, Runtian Zhai, Andrew Shen, Ketong Chen, Zhenlin Wang, Soheil Kolouri, Simon Stepputtis, Joseph Campbell, Katia Sycara

ICLR 2023 · workshop

Predicting Out-of-Distribution Error with Confidence Optimal Transport

Yuzhe Lu, Zhenlin Wang, Runtian Zhai, Soheil Kolouri, Joseph Campbell, Katia Sycara

AISTATS 2022 · main

Best Arm Identification with Safety Constraints

Zhenlin Wang, Andrew Wagenmaker, Kevin Jamieson

03Projects
github ->

HERON

active

A domain-agnostic MARL framework for evaluating trained policies under heterogeneous event-driven execution and realistic observability constraints

multi-agent rlevent-drivensimulation

A private, configurable AI resume assistant with LangChain agents, CV rendering, and a full-stack review workflow

agentic ailangchainfull-stack ai
read code ★ 1 · 80 commits · ◷ 1y

llm-validator

active

A configurable LLM benchmarking template for repeatable model, prompt, dataset, and metric validation

llm evaluationmodel validationbenchmarking
read codewriteup ★ 0 · 21 commits · ◷ 1y

dpai

archived

A lightweight local inference-serving toolkit for registering models and exposing prediction endpoints quickly

model servingmlopsfastapi
read codedocs ★ 1 · 16 commits · ◷ 1y