Lingfei He
Software Engineer at Instagram
Menlo Park, California, United States
Summary
👤
Senior🎓
Top SchoolLingfei He is a software engineer with 13 years of experience, currently building products at Instagram out of Menlo Park after earning a Master of Engineering in Computer Science from Cornell. He blends a strong research background in recommender systems and information retrieval from the University of Minnesota with hands-on full‑stack experience (React, GraphQL, PHP) gained during a Facebook internship. Lingfei has contributed to the LensKit open-source recommender toolkit, adding core Java functionality and evaluation protocols that improved algorithm integration and testing. Comfortable across backend systems and experimentation-driven features, he focuses on turning research insights into production-ready code. Colleagues describe him as someone who bridges academic rigor and product delivery, often surfacing small but impactful infrastructure improvements that reduce friction for teams.
13 years of coding experience
2 years of employment as a software developer
Master's degree, Computer Science, Master's degree, Computer Science at Cornell UniversityUniversity of Minnesota Twin Cities
Chinese, English
Github Skills (7)
data-structures10
javas10
algorithms10
data-structure10
recommender-system10
java10
testing9
Programming languages (1)
Github contributions (2)
lenskit/lenskit
Feb 2013 - Dec 2013
LensKit recommender toolkit.
Role in this project:
Back-end Developer
Back-end DeveloperContributions:34 commits in 10 months
Contributions summary:Lingfei primarily contributed to the core LensKit recommender toolkit, focusing on implementing and integrating functionality within the core Java codebase. Their work includes adding a new method for converting arrays to sparse vectors within the `Indexer` class, and integrating this method into the `LeastSquaresPredictor` and the OrdRec algorithm. Furthermore, they added support for the retain-N protocol by introducing `setRetain()` method and `RetainNPartition` class. The user also made several updates to testing and documentation.
pythonrecommendermachine-learning
jl-git/cssajobwebsite
Nov 2015 - Dec 2015
Contributions:5 pushes in 14 days
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