I’m Khiem Pham, an AI evaluation and benchmark engineering professional based in Ho Chi Minh City. I build and validate frontier-agent benchmark tasks—designing clear reward logic, anti-cheat controls, Dockerized evaluation environments, reference solutions, and sealed verification to ensure scoring behaves correctly and fairly.
Alongside evaluation work, I create finance and math problem sets grounded in real disclosures and rigorous proof standards, and I support red teaming and annotation/QA processes through structured rubrics and calibration. I enjoy turning complex requirements into reproducible, testable systems using Python, Docker, Rust, and LLM tooling like Codex and Claude Code.
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