Anwar Shaikh is a Machine Learning–focused Software Engineer with 10 years of experience building production ML systems and optimization platforms, now working on ML at Meta in San Francisco. He holds an MS in Data Science from Indiana University and has led architecture and research efforts that applied AI optimization to bio-physical simulations and high-performance distributed systems. At Aktana he helped design multi-channel action recommendation and next-best-action sequence engines, including LSTM Seq2Seq POCs and simulation modules that navigated large combinatorial decision spaces. Known for bridging research and engineering, he has been promoted repeatedly for delivering R&D projects into production and enjoys applying formal quantitative methods—rooted in his teaching of mathematical foundations—to practical ML problems.
10 years of coding experience
11 years of employment as a software developer
Master of Science (MS), Data Science, Master of Science (MS), Data Science at Indiana University Bloomington
Bachelor of Engineering (BE), Computer Engineering, Bachelor of Engineering (BE), Computer Engineering at Savitribai Phule Pune University
Contributions:43 pushes, 1 branch, 10 issues in 3 months
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