Recruiter brief

Wenyu Chiou — LLM Evaluation & AI Research Profile

A 60-second view of the research engineering work I can own, the evidence behind it, and my availability.

Wenyu Chiou beside his coupled flood-adaptation modeling poster at AGU 2025.
Presenting coupled human–flood modeling at AGU 2025, New Orleans.

01

Role fit in 60 seconds

I am an LLM Evaluation and AI Research Engineer focused on whether model decisions correspond to measured human behavior. I also build governed agent systems and behavioral simulations that make decision inputs, failures, repairs, and downstream consequences inspectable.

02

What I can own

  1. 01

    Human-grounded LLM evaluation

    Design subgroup-aware and stability-aware evaluations that compare generated decisions with measured behavioral evidence and state validity limits clearly.

  2. 02

    Governed agent workflows

    Define structured outputs, deterministic validators, targeted repair, and audit traces before model proposals can change system state.

  3. 03

    Behavioral simulation and AI for science

    Connect individual decisions to agent-based and coupled simulations so downstream environmental, financial, and institutional effects can be tested.

03

Evidence of practice

Three projects show the evaluation, governance, and simulation work behind this profile. Public status is stated directly.

01

Human-Grounded LLM Evaluation

Problem
Can AI-generated flood-insurance answers reflect how real households make decisions?
My role
I compared real household surveys with profile-based LLM responses using measurement checks, decision-pathway analysis, and repeated runs.
Verified capabilities
Evaluation design · Psychometrics and SEM · Stability analysis
02

FLOODABM

Problem
How do household choices change flood losses and the resources available next year?
My role
I built the household decision model and connected adaptation choices to catastrophe, insurance, and financial mechanics.
Verified capabilities
Agent-based modeling · Coupled simulation · Risk systems
03

WAGF

Problem
What stops an invalid AI proposal from changing a simulation?
My role
I designed the validation and repair path that checks an agent proposal before the simulation state can change.
Verified capabilities
Structured outputs · Constraint validation · Auditable repair

04

Verified technical fit

These tools and methods reflect my research, open-source work, and working development practice.

Programming and research engineering
Python · R · MATLAB · pytest/CI · Git
LLM and agent systems
LLM APIs · LangChain · Ollama · Model Context Protocol (MCP) · Retrieval-Augmented Generation (RAG) · agent memory · tool use · Agent Skills · plugin architectures · multi-agent workflows
AI engineering tools
OpenAI Codex · Claude Code · AI coding agents
Modeling and inference
Structural Equation Modeling (SEM) · Bayesian calibration · Agent-Based Modeling (ABM) · Hydrological Modeling · Sociohydrological Modeling

06

AI Recruiter Fit Explorer

Choose a role direction and optionally paste a job description. The explorer maps requirements to controlled portfolio evidence without inventing experience or reducing fit to one number.

Role direction

The job description is sent to NVIDIA for this request only. It is not stored in site analytics, logs, or browser storage.

Ready for a role preset or job description.

07

Resume and contact

For LLM evaluation, AI research, agent systems, or AI for science roles, use email or LinkedIn. The English industry resume is the shortest complete record.