Ayush Salik
Software Engineer at Google
Old Toronto, Ontario, Canada
Summary
👤
Senior🎓
Top SchoolAyush Salik is a software engineer with eight years of practical experience spanning deep learning, FPGA research, and full-stack web development, currently at Google after graduating from UMass Amherst in Computer Science and Mathematics. He has built synthesizable parallel processors in Verilog and accelerated algorithms in FPGA research, while also shipping microservices and full-stack apps using Python, JavaScript, React, Node, Flask/Django, and various databases. Ayush volunteers by building and deploying pro bono websites for local non-profits and clinics, demonstrating a strong product focus and community-minded engineering. He's contributed to production systems at startups and enterprises alike—designing authentication/file-storage microservices, realtime integrations, and ML-driven detection systems—and is equally comfortable tuning models on Azure as writing low-level hardware interfaces. Based in Toronto, he pairs curiosity about astrophysics and robotics with a pragmatic approach to delivering reliable, end-to-end solutions.
8 years of coding experience
3 years of employment as a software developer
High School, High School at The Mother's International SchoolBachelor of Science - BS, Computer Science and Mathematics, Bachelor of Science - BS, Computer Science and Mathematics at University of Massachusetts Amherst
Stackoverflow
1reputation
847reached
0answers
1question
Github Skills (27)
swift6
python6
recommender3
flask3
movie3
mongoose3
login-system3
emotionjs3
redux2
machine-learning2
expressjs2
nodejs-server2
ejs2
react2
nodejs2
Programming languages (3)
Github contributions (5)
asalik13/Content-Addressable-Parallel-Processors
Aug 2020 - Feb 2021
Contributions:52 commits in 5 months
asalik13/Mrec
Jun 2020 - Aug 2020
Movie recommender engine based on collaborative filtering, machine learning network. Uses Python, Numpy, ReactJs, EmotionJs and Flask
Contributions:17 commits, 2 PRs, 5 pushes in 2 months
reactpythonrecommendermovie-recommenderemotionjs
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