Abhijit Sharang
Machine Learning Engineer at Meta
Palo Alto, California, United States
Summary
👤
Senior🎓
Top SchoolAbhijit Sharang is a Machine Learning Engineer with 11 years of experience building and shipping low-latency, production-scale ML systems at companies like Meta and Pinterest. He combines strong foundations in statistics, convex optimization, and deep learning from Stanford with practical production expertise in C++, Java, Golang, and Python. His background spans large-scale data mining, graph processing, NLP, and computer vision dating back to an IIT Kanpur undergraduate project, enabling him to tackle both modeling and systems challenges. At Meta he focuses on latency-critical ML product solutions, evidencing an ability to translate research-grade algorithms into robust, high-throughput services. Colleagues benefit from his cross-disciplinary fluency between research and engineering, and a history of shipping end-to-end solutions from prototype to production. Based in Palo Alto, he brings a research-rooted curiosity to pragmatic system design and optimization.
11 years of coding experience
4 years of employment as a software developer
Indian Institute of Technology KanpurMaster of Science (M.S.), Master of Science (M.S.) at Stanford University
English, Bengali, Hindi
Github Skills (2)
nslookup8
linux3
Programming languages (1)
Github contributions (5)
abhisg/nslookup
Jan 2015 - Jan 2017
Contributions:4 commits, 1 PR, 3 pushes in 2 years 1 month
nslookuplinux
snap-stanford/snapvx
Oct 2015 - Nov 2016
Contributions:66 commits, 19 PRs, 5 pushes in 1 year 1 month
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