ML engineer with experience in diffusion models, large-scale model inference systems, and LLM harnesses.
Broadly interested in human–AI collaboration in the real world for creativity.
Currently working at Meta Superintelligence Lab.
kevinehc[at]gmail.com
jkvc.ai
jkvc
jkvc
Seattle
Experience
Staff Machine Learning Engineer · Meta — Meta Superintelligence Lab
JUL 2025 – PRESENTSEATTLE|AGENTS · INTERACTION · PROTOTYPING
- Prototyping non-turn-based agents on top of turn-based LLMs — interaction & harness engineering for systems that act in the real world like a human would.
- Building interactive AI experiences and art installations to showcase human-AI collaboration for events such as Connect.
Senior Machine Learning Engineer · Meta — GenAI Media Foundation
JUL 2023 – JUN 2025SEATTLE|DIFFUSION · INFERENCE · PRODUCTION
- Built and led the research-to-production hub system that all of Meta's media models train, eval, and ship through — enabled 5+ teams to iterate in parallel and ship 300+ model versions across 15 lines.
- Trained, finetuned, optimized, and developed inference algorithms for diffusion models for novel use cases (latency hiding, character consistency, attention manipulation) and shipped them at scale.
Machine Learning Engineer · Meta — Computational Photography
NOV 2021 – JUN 2023MENLO PARK|CV · ML PIPELINES · WEARABLES
- Trained models and developed algorithms on media quality and understanding for wearables and mobile capture.
- Designed and collected a large-scale general-purpose egocentric dataset that became the substrate for many downstream projects.
Software Engineer Intern · Facebook Reality Labs
JUN 2020 – SEP 2020MENLO PARK
- New training objective for real-time detection & segmentation models; data-synthesis and model-assisted annotation pipeline for video.
Software Engineer Intern · Oculus
MAY 2019 – AUG 2019MENLO PARK
- Built data-loading infrastructure, visualization, and metric dashboards for human pose estimation.
Software Engineer Intern · Google Ads
JUN 2018 – SEP 2018MOUNTAIN VIEW
- Data pipelining infra and RPCs for entity sharing across microservices.
Education & Research
Stanford University · M.S., Computer Science in AI
2019 – 2021- Research Assistant — Stanford Vision & Learning Lab; paper @ CVPR 2021.
- Research Assistant — Stanford NLP Group; paper @ ACL 2022.
- Teaching Assistant for graduate-level CS courses.
UC San Diego · B.S., Computer Science
2015 – 2019- Magna cum laude.
- Head TA for introductory CS — wrote a full-feature auto-grading and assignment-publishing framework still in use.