Summary
David Lisuk is a Director of Engineering and seasoned ML practitioner with 11 years of experience building production-grade model tooling, inference platforms, and full-stack systems. He has led and grown teams at Palantir—owning model management, a Python SDK backed by Java services, and Kubernetes-based inference engines—and now drives engineering at Distyl AI from New York. David blends deep ML engineering (Spark, scikit-learn, computer vision, audio, NLP) with pragmatic productization skills, repeatedly turning research and prototypes into scalable, auditable systems for commercial and government customers. He has a track record of hiring and mentoring engineers, organizing learning programs, and expanding teams while keeping delivery velocity high. Earlier roles in analytics and bioinformatics gave him a strong statistical and scientific grounding that informs his approach to robust model development. Collected across academia and industry, his work emphasizes operationalizing complex ML at scale rather than just building models in isolation.
11 years of coding experience
12 years of employment as a software developer
Non Degree Computer Science, Non Degree Computer Science at University of California, San Diego - Extension
University of California San Diego
Master's Degree Computer Science, Master's Degree Computer Science at University of California, San Diego
High School/Secondary Diplomas and Certificates, High School/Secondary Diplomas and Certificates at Galt HIgh