Bhanu Bhandari
Software Engineer at Meta
Union City, California, United States
Summary
👤
Senior🎓
Top SchoolBhanu Bhandari is a software engineer with 10 years of experience building backend data pipelines, APIs, and tooling—currently contributing to regulatory data collection and cross-app compliance at Meta Superintelligence Labs. He pairs a strong academic background (MS CS, UMass Amherst; B.Tech. with honors) with applied ML and systems work, having published research on combinatorial optimization and built graph neural networks and variational-autoencoder approaches in prior internships. Bhanu has shipped full-stack vehicle diagnostics and consumer-facing features at Rivian and integrated semantic segmentation into SLAM for autonomous systems, showing an uncommon blend of product-focused engineering and research depth. Comfortable across Python, TypeScript, and large-scale data systems, he focuses on making AI experiences reliable and auditable in production. Based in Union City, CA, he brings a pragmatic research-to-production mindset that surfaces in both regulatory tooling and performance-critical features.
9 years of coding experience
2 years of employment as a software developer
Master's of Science, Computer Science, 3.98/4.0, Master's of Science, Computer Science, 3.98/4.0 at University of Massachusetts AmherstBachelors of Technology (B.Tech.) Honors, Electronics and Communication Engineering, 9.3/10, Bachelors of Technology (B.Tech.) Honors, Electronics and Communication Engineering, 9.3/10 at Indian Institute Of Information Technology
English, Hindi, Punjabi, German
Github Skills (56)
notebook7
letter7
python-interface7
jekyll6
machine-learning6
python6
hardware6
mesh6
geometry6
jupyter6
vtk5
tensorflow5
perl5
css5
javascript5
Programming languages (7)
Github contributions (5)
cromagnonninja/emeindian
Aug 2020 - Jun 2023
Website for Electro Mechanical Enterprises India.
Contributions:4 PRs, 45 pushes, 2 branches in 2 years 10 months
3d-modelsreactelectronjavascriptmechanical
scoppiare99/MNIST_ML
Aug 2017 - Oct 2018
Machine Learning Algorithms applied on the MNIST training set
Contributions:2 PRs, 5 pushes, 2 branches in 1 year 2 months
pythondata-sciencedeep-learningmachine-learning-algorithmsmachine-learning
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