Shashank Kedia
Machine Learning Engineer at Meta
Sunnyvale, California, United States
Summary
👤
Senior🎓
Top SchoolShashank Kedia is a machine learning engineer with 11 years of experience building production AI systems for personalization and real-time optimization, most recently at Meta after leading recommendation and generative AI efforts as a Staff Data Scientist at Walmart. He specializes in online learning and adaptive recommendation systems that update in real time to improve discovery, engagement, and sales, and holds multiple patents with publications in top conferences. His background blends rigorous academic training from the University of Michigan and IIT Delhi with practical large-scale engineering experience across retail and finance, including analytics and data-platform work at Goldman Sachs. Colleagues rely on him to translate cutting-edge research into scalable, business-impacting models and to push the boundaries of dynamic, AI-driven decision systems.
11 years of coding experience
6 years of employment as a software developer
Indian Institute of Technology Delhi (IIT Delhi)Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at University of Michigan College of Engineering
English, Hindi, Bengali
Github Skills (13)
android-app10
kotlin9
android8
mongodb6
react6
redux6
backend5
nextjs5
javascript4
docker4
nodejs4
frontend3
typescript3
Programming languages (2)
Github contributions (5)
shashankmurching/shashankmurching.github.io
Jun 2018 - Nov 2022
Personal website
Contributions:122 commits, 40 PRs, 119 pushes in 4 years 6 months
reactnextjs
shashankmurching/Command-Line-Search-Engine
Dec 2019 - Jan 2020
Contributions:30 commits, 27 pushes, 1 branch in 19 days
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