Aditya Shah
ML Research Engineer at Google
Mountain View, California, United States
Summary
👤
Senior🎓
Top SchoolAditya Shah is an ML research engineer with 8 years of experience specializing in NLP and foundation-model fine-tuning, currently working on Post-Training Gemini for code and long-horizon tasks at Google in Mountain View. He holds an MS (Research) in Computer Science from Virginia Tech and has a track record building domain-adapted and instruction-tuned models at Capital One and production-focused extraction pipelines during Google/DeepMind internships. His work spans parameter-efficient tuning on TPUs, multimodal document extraction, and enterprise NLP systems that improved accuracy and reduced false positives in critical workflows. A practical researcher and founder of art of quantum, he blends academic rigor—publishing at ICON/ACL—with hands-on engineering that pushes model adaptability while mitigating catastrophic forgetting.
8 years of coding experience
2 years of employment as a software developer
Master of Science - MS (Research) Computer Science, Master of Science - MS (Research) Computer Science at Virginia TechBachelor's degree Computer Engineering, Bachelor's degree Computer Engineering at Dwarkadas J. Sanghvi College of Engineering
Github Skills (27)
python10
machine-learning10
deep-learning10
tensorflow10
data-science9
ml9
deep-neural-networks9
neural-network9
issue-tracking9
blockchain5
ethereum5
flask-login5
anaconda5
blockchain-platform5
django3
Programming languages (6)
Github contributions (5)
sundeshgupta/FiLMing-Multimodal-Sarcasm-Detection
Oct 2021 - Jan 2022
Contributions:5 commits, 4 pushes in 3 months
Aditya-shahh/Aditya-shahh.github.io
Jul 2020 - May 2023
Contributions:34 pushes, 1 branch in 2 years 10 months
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