Suvash Sedhain
Machine Learning Engineer at Tubi
San Francisco Bay Area United States
Summary
👤
Senior🎓
Top SchoolSuvash Sedhain is a Machine Learning Engineer with 15 years' experience specializing in recommender systems, personalization, and large-scale search. He has built production recommendation models and infrastructure at Twitter and now drives personalization and targeting products at Tubi from the San Francisco Bay Area. His background blends rigorous academic research—a PhD in Machine Learning from ANU—with hands-on applied work in predictive sports modeling, cold-start social recommendation (RecSys-14), and production ML systems across startups and enterprises. Known as a machine learning generalist, he combines algorithmic depth with practical engineering to deliver scalable, user-facing personalization. A less obvious strength is his track record of translating research-grade ideas into measurable product improvements in high-throughput environments.
15 years of coding experience
9 years of employment as a software developer
Australian National University
Github Skills (29)
python10
machine-learning10
collaborative-filtering10
deep-learning10
tensorflow10
neural-network10
data-science9
ml9
deep-neural-networks9
filtering9
ros8
simulator8
simulation7
deep-reinforcement-learning7
computer-vision7
Programming languages (4)
Github contributions (5)
mesuvash/LRec
Apr 2016 - Feb 2018
Contributions:2 commits, 1 PR, 17 pushes in 1 year 10 months
recommendermachine-learningaaailinear
mesuvash/NNRec
Mar 2015 - Feb 2019
Neural models for Collaborative Filtering
Contributions:37 commits, 1 PR, 24 pushes in 3 years 11 months
collaborative-filteringmachine-learningneural-networkcollaborativefiltering
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