Abhinav Bhatia
Research Assistant at University of Massachusetts Amherst
Amherst, Massachusetts, United States
Summary
👤
Senior🎓
Top SchoolAbhinav Bhatia is a PhD candidate and research assistant at UMass Amherst with a decade of experience building ML-driven systems and applied research in sequential decision making and deep reinforcement learning. He combines academic rigor with industry experience from internships and roles at Microsoft, WalmartLabs, Amazon, and Singapore Management University, applying RL and analytics to real-world supply-chain and operations problems. His work spans from research prototypes to production-aware engineering, reflecting a rare ability to translate theoretical advances into deployed systems. During internships at major tech firms he focused on applied science problems, complementing his long-term research agenda at UMass. A B.E. (Hons.) from BITS Pilani and sustained contributions across academia and industry suggest both strong fundamentals and practical impact. Colleagues describe him as a practitioner who bridges rigorous sequential decision research with measurable business outcomes.
9 years of coding experience
5 years of employment as a software developer
BITS Pilani, Birla Institute of Technology and ScienceDoctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at University of Massachusetts Amherst
English, Hindi
Github Skills (98)
python10
deep-learning10
markdown10
gitpod10
github-pages10
tensorflow10
machine-learning10
jekyll10
ml9
gradient9
neural-network9
intellij9
deep-q-network9
ide9
control-flow9
Programming languages (7)
Github contributions (5)
bhatiaabhinav/bhatiaabhinav.github.io.old
May 2022 - Dec 2024
Abhinav Bhatia's Personal Webpage
Contributions:180 pushes, 1 branch in 2 years 7 months
reactpersonal-webpagejavascriptabhinavreactjs
bhatiaabhinav/RL-v2
Aug 2020 - Oct 2021
Version 3.0.0 Pytorch implementations of DQN, DDQN, DDPG, SAC, Discrete SAC. With more features :)
Contributions:39 commits, 1 PR, 69 pushes in 1 year 1 month
deep-deterministic-policy-gradientdeep-reinforcement-learningdiscrete-sacmore-featuresimplementations
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