Karmesh Yadav
AI Scientist Intern at Mistral AI
Atlanta, Georgia, United States
Summary
🤩
Rockstar🎓
Top SchoolKarmesh Yadav is an AI scientist and final-year PhD student at Georgia Tech with eight years of experience at the intersection of robotics, embodied AI, and large language model reasoning. He has industry research experience from Facebook AI and Mistral AI and has built production-focused systems—ranging from VLM agents and web-deployment pipelines that evade bot detection to mobile manipulator configurations in the widely used Habitat-Lab simulator. His background in autonomous vehicles and sensor fusion (EKF-based radar-camera tracking, CARLA simulation) complements his recent work on LLM reasoning and vision-language models for navigation. Karmesh blends rigorous academic training (CMU MS, IIT Guwahati BTech) with hands-on engineering across startups and research labs, shipping both simulation and real-robot solutions. Notably, he contributed to core modules of FacebookResearch’s Habitat-Lab, signaling deep familiarity with embodied agent frameworks often used by the community. He is based in Atlanta and known for translating complex research into deployable systems that close the loop between perception, planning, and decision-making.
8 years of coding experience
2 years of employment as a software developer
Bachelor of Technology (B.Tech.) Mechanical Engineering, Bachelor of Technology (B.Tech.) Mechanical Engineering at Indian Institute of Technology, GuwahatiDoctor of Philosophy - PhD Machine Learning, Doctor of Philosophy - PhD Machine Learning at Georgia Institute of TechnologyClass XII Non Medical, Class XII Non Medical at Summer Fields SchoolMaster of Science in Robotic Systems Development Mechatronics Robotics and Automation Engineering, Master of Science in Robotic Systems Development Mechatronics Robotics and Automation Engineering at Carnegie Mellon University
Hindi, English, French
Github Skills (8)
deep-reinforcement-learning10
python10
reinforcement-learning9
ai9
computer-vision9
deep-learning8
deeplearning-ai8
simulator8
Programming languages (3)
Github contributions (5)
facebookresearch/habitat-lab
Sep 2021 - Jan 2023
A modular high-level library to train embodied AI agents across a variety of tasks and environments.
Role in this project:
ML Engineer
ML EngineerContributions:183 reviews, 14 commits, 46 PRs in 1 year 4 months
Contributions summary:Karmesh contributed to the core library by updating various modules within the `habitat/core` directory. Their work included incorporating suggestions, fixing issues related to episode information, and applying code style fixes using "Black". They also contributed to the `habitat/robots` module, specifically the mobile manipulator configurations. This indicates work on integrating and configuring robots in the simulator.
pythonembodied-aideep-reinforcement-learningsimulatorai-agents
ykarmesh/Deep-RL-Assignments
Sep 2019 - Dec 2019
Contributions:53 commits in 2 months
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