Wonkwon Raymond Lee

👋 Hello, I’m Raymond (Wonkwon) Lee.

I’m an applied AI and infrastructure engineer who turns ambiguous operational requirements into reliable technical systems for regulated enterprises. My work sits where AI meets production infrastructure: Python/API automation, network and security architecture, and the guardrails that decide whether an AI-generated change is safe to apply at all.

At LG CNS America I lead customer-facing technical workstreams for U.S. financial institutions — running discovery and solution design through technical approval, implementation, acceptance, and operational handoff. That means translating vague stakeholder asks into architectures, runbooks, acceptance criteria, and executive-ready validation reports, then designing and validating the regulated banking integrations that sit underneath them.

Before that I built research-to-product workflows at RND4Impact, prototyped a BERT-based NLP relation-extraction system at PwC, and spent time at NYU’s Center for Responsible AI working on evaluation and reproducibility for privacy-preserving synthetic data — work that became a VLDB 2023 Evaluation & Benchmark Track runner-up and an ACM SIGMOD Research Highlight.

That research background is why I care about the same question in an infrastructure context: how do you know an automated change is actually safe before it runs? It’s the premise behind ChangeSafe, a safety boundary that converts AI-generated infrastructure recommendations into typed, schema-validated, transactionally applied patches with deterministic policy checks and hash-bound decision receipts.

What I work on

• AI infrastructure & operational tooling — Python/API automation, LLM and prompt workflows, rapid POCs
• Technical discovery & solution scoping — client and vendor leadership, systems-integration delivery
• AI change safety — policy checks, blast-radius and rollback verification, auditable evidence
• AI evaluation & reproducibility — benchmarking, evaluation design, responsible-AI practice

Résumé

📄 One-page résumé. A longer breakdown lives on the CV page, and selected engineering and research work is on projects.

Reach out at wonkwon.lee94@gmail.com — happy to talk about AI infrastructure, change safety, or evaluation work.