Sanjaye Narayan
San Francisco, California, United States
Summary
🤩
Rockstar🎓
Top SchoolSanjaye Narayan is a software engineer based in San Francisco with nine years of hands-on experience building scalable systems across startups and research labs. A Stanford B.S./M.S. graduate, he has shipped production services at companies from Ramp and Sourcegraph to 1047 Games and contributed ML reliability tooling at Instagram and Facebook. His background spans full-stack and backend systems—Kafka pipelines for large-scale environmental studies, Rust backends for autonomous fleets, and Kubernetes/serverless APIs for NASA JPL—demonstrating comfort with both high-throughput data and embedded control flows. He’s combined research in personalized NLP toxicity detection with practical engineering, turning models and prototypes into operational tools. Known for clean code and pragmatic design, he often bridges academia and product engineering to deliver technically ambitious yet maintainable systems. Outside core engineering, he’s taught Stanford CS courses, mentoring students in fundamentals and systems thinking.
9 years of coding experience
4 years of employment as a software developer
Gabrielino High SchoolMaster of Science - MS Computer Science, Master of Science - MS Computer Science at Stanford University
Github Skills (16)
vscode-extension10
intellij-plugin10
ai9
redis7
umbraco6
stackexchange6
redis-client6
csharp6
messaging6
visual-studio5
message-bus5
rust4
pubsub4
api1
sdk1
Programming languages (6)
Github contributions (5)
sanjayesn/sanjayesn.github.io
Aug 2016 - Jun 2017
Contributions:16 pushes, 1 branch in 9 months
linkcloud9aws
sanjayesn/test-sg-review-agent
Mar 2025 - Mar 2025
Contributions:17 PRs, 1 branch, 17 comments in 2 days
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