Edward Feng
Sr. Software Engineer at Databricks
San Francisco, California, United States
Summary
🤩
Rockstar🎓
Top SchoolEdward Feng is a Senior Software Engineer based in San Francisco with five years of experience building scalable back-end systems and developer-facing infrastructure. At Databricks he focuses on API and schema design, contributing GraphQL integrations, TypeScript type generation, and search/model joins to the prominent open-source MLflow project used across the ML lifecycle. His background includes internships at Facebook and practical engineering roles across startups and analytics teams, giving him a blend of product-driven and production-grade engineering experience. A former varsity basketball analyst, he brings a data-first mindset and analytical rigor to system design and tooling.
5 years of coding experience
Bachelor’s Degree Computer Science, Bachelor’s Degree Computer Science at Rice University
Github Skills (14)
graphql10
mlflow10
api10
python10
apidoc10
wpgraphql10
graphene10
wordpress-graphql10
typescript-types9
typescript9
typescripts9
machine-learning8
ml8
ai6
Programming languages (5)
Github contributions (5)
mlflow/mlflow
Oct 2023 - Jul 2024
The open source AI engineering platform for agents, LLMs, and ML models. MLflow enables teams of all sizes to debug, evaluate, monitor, and optimize production-quality AI applications while controlling costs and managing access to models and data.
Role in this project:
Back-end Developer & DevOps Engineer
Back-end Developer & DevOps EngineerContributions:24 reviews, 44 PRs, 19 pushes in 9 months
Contributions summary:Edward primarily contributed to the development of GraphQL features within the MLflow project, including integrating run and experiment data. They worked on onboarding components to GraphQL and joining search model versions into the getRun operation. Their contributions also extended to setting up and maintaining the GraphQL schema and generating TypeScript types for the GraphQL schema, demonstrating a focus on API development and infrastructure.
aimlflowmlmodelmachine-learningml
edwardfeng-db/mlflow
Oct 2023 - Jul 2024
Open source platform for the machine learning lifecycle
Contributions:2 PRs, 149 pushes, 22 branches in 9 months
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