Abhinav Bhatia
Applied Scientist at Microsoft
Bellevue, Washington, 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.
10 years of coding experience
11 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 (76)
python10
deep-learning10
markdown10
tensorflow10
machine-learning10
jekyll10
ml9
gradient9
neural-network9
html9
control-flow9
jekyll-theme9
deep-neural-networks9
github-pages9
vscode9
Programming languages (7)
Github contributions (5)
bhatiaabhinav/RL
Oct 2018 - Oct 2022
This repo is not maintained anymore. Some algorithms for solving deep RL problems. Using TensorFlow.
Contributions:1 PR, 79 pushes, 6 branches in 4 years 1 month
tensorflow
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
ddpgdqnpytorchddqndeep-deterministic-policy-gradient
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