Punit Mehta
Applied Scientist - Machine Learning at Amazon
Bengaluru, Karnataka, India
Summary
👤
Senior🎓
Top SchoolPunit Mehta is an applied scientist with 13 years of experience building large-scale software systems and production ML models, currently advancing deep learning and automatic speech recognition for Amazon Alexa. He combines a strong academic foundation (MS in CS with a perfect GPA, PhD studies) and research instincts—having contributed to graph theory proofs and web security research—with hands-on engineering at Flipkart where his backend and mobile work scaled to handle a significant share of logistics traffic. Comfortable across ML subfields from reinforcement learning to computer vision and security-in-ML, he focuses on making scalable, regionally robust intelligent systems and mitigating bias at production scale. His background in open-source development (KDE/Google Summer of Code) and experience across startups and research labs give him an unusual blend of product-oriented execution and theoretical curiosity.
12 years of coding experience
4 years of employment as a software developer
Master of Science - MS, Computer Science (Specialization: Machine Learning), 4.0, Master of Science - MS, Computer Science (Specialization: Machine Learning), 4.0 at Georgia Institute of TechnologyHigh School, Intermediate/+2, High School, Intermediate/+2 at Gayatri VidhyalayaBachelor’s Degree, Information and Communication Technology (major in Computer Science), 9.15/10, Bachelor’s Degree, Information and Communication Technology (major in Computer Science), 9.15/10 at Dhirubhai Ambani Institute of Information and Communication TechnologyPhD (on leave), Computer Science, PhD (on leave), Computer Science at Stony Brook University
English, Gujarati, Hindi
Github Skills (6)
azerothcore3
clipper3
math2
mathematical2
python2
mathematics2
Programming languages (1)
Github contributions (5)
punit9462/imageDimension
Oct 2015 - Oct 2015
Contributions:6 pushes, 1 branch in 1 day
KDE/khipu
Jun 2013 - Dec 2013
Contributions:170 commits in 6 months
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