Shakti Kumar
Research Scientist at Meta
Old Toronto, Ontario, Canada
Summary
👤
Senior🎓
Top SchoolShakti Kumar is a research scientist with nine years of experience designing efficient neural architectures for large-scale recommendation and ranking systems, currently shaping ads recommender models in Meta’s Monetization org. He has driven high-impact Instagram ranking initiatives that delivered significant revenue gains (~$45M) while cutting GPU footprint through modelling and infra innovations. His background spans industry research roles—from few-shot learning and Transformer-based VAEs at Vanguard to applied analytics and conversational AI at Cisco—grounded in an MSc from the University of Toronto and a top-ranked CS degree from RV College. Known for end-to-end ownership and cross-functional leadership, he blends deep research rigor with production-first engineering to turn novel architectures into measurable business outcomes.
9 years of coding experience
4 years of employment as a software developer
Bachelor’s Degree, Computer Science, 9.72/10, Bachelor’s Degree, Computer Science, 9.72/10 at R. V. College of Engineering, BangaloreMSc. Applied Computing, 4/4, MSc. Applied Computing, 4/4 at University of Toronto
Stackoverflow
1reputation
0reached
0answers
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Github Skills (113)
language-server-protocol10
python-development10
api10
cisco10
anaconda10
pyqt10
fmc10
spyder10
ide10
qt9
netmiko9
recommender-system9
hash9
outlook9
deep-reinforcement-learning9
Programming languages (4)
Github contributions (5)
jerrodparker20/adaptive-transformers-in-rl
Jan 2020 - May 2020
Contributions:130 commits, 22 PRs, 87 pushes in 4 months
shaktikshri/adaptiveSystems
Sep 2019 - Mar 2020
RL CIRL Research
Contributions:271 commits, 15 PRs, 117 pushes in 6 months
pytorchreinforcement-learningdeep-reinforcement-learninginverse-reinforcement-learningmachine-learning
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