Felix Wang
Co-Founder at Focal
Palo Alto, California, United States
Summary
🤩
Rockstar🎓
Top SchoolFelix Wang is a Co-Founder and software engineer with seven years of experience building backend systems and data infrastructure, currently based in Palo Alto. He previously shipped production feature-store capabilities at Tecton and contributed to Feast, the widely used open-source feature store for ML, improving BigQuery table name generation and registry update efficiency. Felix blends hands-on engineering with data-focused systems thinking—optimizing test resource teardown and delegating feature store responsibilities to streamline workflows. His background includes internships at Citadel, Quora, and Pure Storage and mathematics research at MIT, reflecting strong analytical foundations. Now leading product and engineering efforts at Focal, he pairs startup grit with proven experience in scalable ML data platforms. Colleagues describe him as a pragmatic problem-solver who surfaces small technical improvements that yield outsized reliability gains.
7 years of coding experience
5 years of employment as a software developer
The Roxbury Latin SchoolBachelor of Science - BS Mathematics, Bachelor of Science - BS Mathematics at Stanford University
Spanish, Latin, Chinese, English
Github Skills (6)
bigquery10
python10
data-engineering10
testing9
data-pipeline8
data-pipelines8
Programming languages (6)
Github contributions (5)
feast-dev/feast
Jul 2021 - Jan 2023
The Open Source Feature Store for AI/ML
Role in this project:
Back-end Developer & Data Engineer
Back-end Developer & Data EngineerContributions:16 releases, 712 reviews, 239 commits in 1 year 6 months
Contributions summary:Felix primarily contributed to the core functionality of the Feast feature store, specifically related to BigQuery table name generation and the efficient management of registry updates. Their work included adding a mechanism to introduce randomness for BigQuery table names in historical retrieval tests and optimizing registry updates to improve efficiency. Furthermore, the user participated in tearing down resources used in testing, adding support to delegate to the feature store.
pythondata-qualitydata-sciencemlmachine-learning
felixwang9817/feast
Jul 2021 - Aug 2023
Feature Store for Machine Learning
Contributions:4 releases, 7 PRs, 611 pushes in 2 years 1 month
pythondata-sciencemachine-learningmlopsfeature-store
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.