Tejas Bhitle

Software Engineer at WhatsApp

San Francisco, California, United States
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Summary

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Senior
🎓
Top School
Tejas Bhitle is a software engineer with 10 years of experience building distributed systems, backend services, and mobile apps, currently contributing to WhatsApp’s Android video calling platform serving over 2 billion users. He has driven performance and reliability improvements across finance and trading systems at Barclays and Morgan Stanley, including custom orchestration DAGs, parallel executors, and large-scale job automation that cut runtimes and build times dramatically. Tejas pairs practical backend expertise (Spring, Kafka, PostgreSQL, Neo4j) with hands-on mobile and native performance work (Android, C++, CUDA), a blend informed by research in SPECT/SPECT-CT imaging algorithms. He’s delivered production-grade AI/semantic features like vector search for regulatory analysis and agentic compliance tooling, showing an appetite for translating research into robust products. Based in San Francisco with an MS in Computer Science from University at Buffalo, he brings cross-functional collaboration and a track record of optimizing systems at scale—often by rethinking workflows and data paths rather than just adding resources.
code10 years of coding experience
job4 years of employment as a software developer
bookBachelor of Engineering - BE Computer Science, Bachelor of Engineering - BE Computer Science at Bhartiya Vidya Bhavans Sardar Patel Institute of Technology Munshi Nagar Andheri Mumbai
bookMaster of Science Computer Science, Master of Science Computer Science at University at Buffalo
languagesEnglish, Marathi, Hindi
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Github Skills (58)

reproducible-research10
coveralls10
django10
codecov10
leaderboard10
angularjs10
evaluation9
artificial-intelligence9
python9
machine-learning9
docker9
ai9
bank9
evaluation-framework9
frontend8

Programming languages (6)

TypeScriptJavaC++HTMLPythonDart

Github contributions (5)

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Contributions:16 commits, 13 pushes, 1 branch in 3 months
RoystonDmello/chehra

Dec 2017 - Jan 2018

Contributions:49 commits in 28 days
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