Chris Li
@chrisli
Senior AI/ML engineer driving production-ready AI solutions across healthcare and enterprise.
What I'm looking for
I am a Senior AI/ML engineer with nearly a decade of experience building and deploying production AI across healthcare, enterprise SaaS, design automation, and revenue intelligence. I translate research into scalable MLOps frameworks and production systems trusted by Fortune 500 companies and global healthcare providers.
My work includes developing FDA-cleared multimodal biomarkers, predictive forecasting engines, design-to-code automation pipelines, and Generative AI–enabled software delivery lifecycles. I led cross-functional teams, authored strategic AI thought leadership, and delivered measurable business impact—such as $1.6M recouped per use case, 98% customer renewals, and significant efficiency gains across pipelines.
I focus on architecting robust, compliant infrastructure and end-to-end ML platforms—spanning data ingestion, model training, deployment, monitoring, and CI/CD—to accelerate product adoption and operationalize AI at scale.
Experience
Work history, roles, and key accomplishments
Senior AI/ML Engineer
Intetics
Jan 2023 - Present (2 years 8 months)
Led development of AR virtual try-on, conversational virtual nurse serving 100,000+ patients, and emotion-recognition ML for wearables; co-architected MLOps frameworks and delivered GenAI-enabled delivery processes that improved pipeline efficiency 5%–60%.
Senior AI Engineer
Artera
Jan 2020 - Jan 2023 (3 years)
Designed and scaled AI-powered virtual agents and staff co-pilots for healthcare, processing 2B+ communications annually and delivering 70%+ reductions in staff time; led multimodal biomarker ML culminating in an FDA-authorized prostate test.
AI Full Stack Developer
Supernova
Jan 2019 - Jan 2020 (1 year)
Built design-to-code automation pipelines and real-time documentation editor, integrating Figma sync and code export workflows to accelerate design system adoption and deployable UI assets.
Contributed to Clari's core revenue intelligence engine, building pipeline health and forecasting models that improved forecasting accuracy and supported tracking of millions of deals with ~3–4% forecast error.
Education
Degrees, certifications, and relevant coursework
University of California, Berkeley
Bachelor of Science, Computer Science
2011 - 2015
Completed a Bachelor of Science in Computer Science with coursework and projects related to algorithms, systems, and machine learning.
Availability
Location
Authorized to work in
Job categories
Skills
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