Work

Research depth, operator urgency, leadership context.

I have spent my career moving closer to the places where AI becomes real: production systems, company constraints, user workflows, evaluation, and technical judgment.

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Current

Founding Engineer, Cubic

AI code review systems for complex codebases

  • Leading AI development in a fast-moving product environment where review quality, developer workflow, evaluation, and reliability are tightly connected.
  • Working on the practical frontier of AI-assisted software engineering: codebase context, review signal, feedback loops, and engineering leverage.
  • Public signal: Cubic has been publicly ranked #1 on an independent AI code review benchmark.

2025

Founding AI Engineer, Nexcade

Freight quotation workflows with LLMs and agents

  • Built multi-agent quotation automation from scratch for real operational workflows.
  • Designed systems around workflow orchestration, validation, supplier data, and human oversight.
  • Helped turn an ambiguous AI opportunity into production infrastructure with measurable business use.

2024 - 2025

Tech Lead and Technical Advisor, KIRO

RAG chatbot infrastructure and AI product execution

  • Led development of production RAG and agentic workflows for a financial coaching product.
  • Worked across retrieval, product constraints, interface quality, and fundraising-stage execution.
  • Supported the transition from prototype to real product usage.

2021 - 2023

Principal AI Engineer, Rephrase AI

Generative video systems, acquired by Adobe

  • Led core text-to-video and lip-sync technology work for personalized video generation.
  • Managed research and engineering direction across model quality, production constraints, and cost.
  • Contributed to technology later acquired by Adobe and integrated into its generative AI ecosystem.

2015 - 2021

Deep Learning Research Engineer, Samsung R&D

Optimization, computer vision, and production ML systems

  • Worked across deep learning optimization, cost reduction, latency, and deployment constraints.
  • Partnered with multiple internal teams to translate research ideas into usable engineering systems.
  • Built the research foundation that later became an operator-oriented approach to AI.

Operating pattern

The through-line is ambiguity to system.

Bridge worlds

Research, product, engineering, business, and people rarely line up neatly. I am useful where those boundaries blur.

Pressure-test reality

I care about what breaks, what users actually do, what evidence changes the plan, and what a system costs to operate.

Lead through judgment

My leadership style is strategic partnership: helping teams decide what matters and then making the technical path concrete.

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For talks, collaborations, thoughtful operator conversations, or selective senior opportunities, the best next step is a short note.

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