Uday Phalak
Machine Learning Engineer - Recommendation & Personalization
San Jose, California, United States
Summary
👤
Senior🎓
Top SchoolUday Phalak is a Machine Learning Engineer and co-founder based in San Jose with eight years of experience building recommendation and personalization systems at The Home Depot and leading an inclusive emergency communications startup, HazAdapt. He specializes in deep learning, multi-modal transformers, relevancy models, and production ML on GCP and AWS, with a track record of shipping Smart Basket and personalized recommendation features. Uday blends research and product sensibility—publishing independent work on Trustworthy ML, Privacy Engineering, and Inclusive Design Tech while contributing to HuggingFace open-source projects. His background spans autonomous systems and healthcare ML, grounded by an MS in Computer Science and specialized training from Mila and Udacity. Notably, he applied GenderMag-driven UX processes to cut UX bugs by 92% at HazAdapt, showing a rare mix of technical rigor and human-centered design.
8 years of coding experience
3 years of employment as a software developer
Masters Computer Science, Masters Computer Science at Oregon State UniversityDeep Learning Engineer Deep Learning, Deep Learning Engineer Deep Learning at UdacityBachelor of Engineering (B.E.) Computer Engineering, Bachelor of Engineering (B.E.) Computer Engineering at University of MumbaiClimate Change AI, Climate Change AI at Mila - Quebec Artificial Intelligence InstituteAdvance Yoga Yoga, Advance Yoga Yoga at Yoga Vidya Dham Gurukul
Github Skills (19)
speech10
evaluation9
datasets9
multiclass-classification9
nlp9
computer-vision9
react8
pandas8
natural-language-processing8
machine-learning8
manipulation8
pytorch8
react-native7
tensorflow7
deep-learning7
Programming languages (6)
Github contributions (5)
udapy/udapy
Jan 2021 - Feb 2025
Contributions:11 pushes, 1 branch in 4 years 1 month
udapy/Udacity-Deep-Learning
Dec 2018 - Jun 2020
Deep Learning Nano Degree Program
Contributions:7 PRs, 20 pushes in 1 year 5 months
pythondeep-learningmachine-learningnanoneural-network
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