Navneet Kumar
Bengaluru, Karnataka, India
Summary
👤
Senior🎓
Top SchoolNavneet Kumar is a software engineer with 11 years of experience building scalable systems across distributed AI infrastructure, fintech, and full-stack products. Currently at Meta working on AI infra in C++ and Python, he previously drove backend reliability and delivery tooling at Bloomberg and built ML-driven medical imaging and research platforms in Europe. He blends low-level systems work (C++, Rust, Go) with web and cloud stacks (Node.js, React/Vue, Docker, Kubernetes, AWS) and enjoys infrastructure design and headless Chrome automation as a hobby project. A founder of a no-code ML startup accepted to Pioneer.app and interviewed by Y Combinator, he also shipped a Product Hunt–featured Chrome extension, showing a strong product-to-production mindset. His academic grounding from TUM and hands-on research in deep reinforcement learning and DL architectures underpin pragmatic solutions that span prototypes to production. Based in Bengaluru, he’s the kind of engineer who moves fluidly between ML research, performance tuning, and production distributed systems.
12 years of coding experience
Masters of Informatics Informatiks, Masters of Informatics Informatiks at Technical University of MunichBachelor of Technology (BTech) Computer Science, Bachelor of Technology (BTech) Computer Science at The LNM Institute of Information TechnologyMatriculation Certificate Senior Secondary, Matriculation Certificate Senior Secondary at Amity International School
German, English
Stackoverflow
1reputation
254reached
0answers
1question
Github Skills (61)
algorithms10
pytorch10
robotics10
hierarchical10
python10
meta10
openai-gym10
variational-autoencoder10
maml10
generative-adversarial-network10
reinforcement-learning10
dqn10
deep-learning10
openai10
ddpg10
Programming languages (4)
Github contributions (5)
navneet-nmk/Paper-Implementations
Oct 2017 - Oct 2017
Contributions:10 commits, 7 pushes, 1 branch in 9 days
navneet-nmk/Hierarchical-Meta-Reinforcement-Learning
Jan 2019 - May 2019
This repository contains the implementation for the paper - Exploration via Hierarchical Meta Reinforcement Learning.
Contributions:64 commits, 58 pushes, 1 branch in 3 months
reinforcement-learningpytorchmachine-learningdeep-learningdeep-reinforcement-learning
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