Harsh Pathak
Bellevue, Washington, United States
Summary
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Rockstar🎓
Top SchoolHarsh Pathak is a Principal ML Scientist with a PhD in AI and Machine Learning and a decade of experience building production-ready ML systems across Snowflake, GoDaddy, and Expedia Group. He specializes in end-to-end solutions spanning ranking, NLP, vision, and classical ML, and has hands-on experience deploying high-performance models using TensorFlow, PyTorch, Spark and Databricks. At Expedia he delivered production super-resolution and GAN-based image enhancement work (including an IEEE-published attentional SRGAN variant) and scaled training across multi-GPU clusters. Based in Bellevue, WA, he combines research rigor with practical engineering—helping teams move prototypes to production while mentoring engineers on operational ML. Beyond applied work, his background shows a consistent focus on performant, scalable ML pipelines and memory-efficient model adaptations for large images.
10 years of coding experience
4 years of employment as a software developer
Master's degree, Data Science, 3.90/4.0, Master's degree, Data Science, 3.90/4.0 at Worcester Polytechnic InstituteBachelor's degree, Computer Engineering, Bachelor's degree, Computer Engineering at Vishwakarma Institute Of information Technology
English, Hindi
Stackoverflow
101reputation
96kreached
4answers
1question
Github Skills (112)
python10
deep-learning10
lora10
recall10
adaptation10
ml10
tf-slim10
neural-network10
data-science10
tensorflow10
roberta10
deep-q-network10
machine-learning10
generative-adversarial-network10
deep-neural-networks10
Programming languages (6)
Github contributions (5)
harsh306/awesome-nn-optimization
Aug 2019 - Sep 2021
Contributions:78 commits, 85 pushes, 1 branch in 2 years 1 month
harsh306/continuation-jax
Feb 2021 - Jul 2021
Continuation methods of Deep Neural Networks optimization, deep-learning, homotopy, bifurcation-analysis, continuation
Contributions:1 release, 60 commits, 4 PRs in 5 months
pytorchhomotopyautomatic-differentiationdeep-learningcontinuation
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