Pushkal Katara
Research Engineer at General Robotics
Greater Seattle Area United States
Summary
🤩
Rockstar🎓
Top SchoolPushkal Katara is a research engineer focused on computer vision and robotics, currently helping make robots faster and more useful at General Robotics after earning an MS in Robotics from Carnegie Mellon. He has nine years of hands-on experience spanning embedded AUV systems, visual servoing, simulation-to-reality robot learning, and embodied AI research that produced CVPR- and ICRA-accepted work. At CMU he contributed to ODIN and Gen2Sim, projects that unify 2D/3D perception and scale robot learning in simulation using generative models. Pushkal is an active open-source contributor and full-stack developer—his work on the popular fossasia/badgeyay and Microsoft EdgeML repos shows he moves between production tooling and ML model engineering. He brings a rare mix of systems-level engineering (ROS, Jetson, PyBullet) and research-first thinking, often turning classical control ideas into learned, differentiable policies. Based in the Greater Seattle area, he pairs startup grit (employee #8) with academic rigor to ship practical robotics capabilities.
9 years of coding experience
7 years of employment as a software developer
Science and Mathematics, Science and Mathematics at Bharitya Vidya Bhawan VidyashramBachelor of Technology Computer Science and Engineering, Bachelor of Technology Computer Science and Engineering at SRM IST ChennaiMaster's of Science Robotics (MSR), Master's of Science Robotics (MSR) at Carnegie Mellon University
English, Hindi
Stackoverflow
1reputation
36reached
0answers
1question
Github Skills (29)
apim10
json10
pytorch10
python10
machine-learning10
flask-ask10
api10
tensorflow10
flask10
c-language9
ui-design9
n9
rnn-model9
front-end-development9
deeplearning-ai9
Programming languages (10)
Github contributions (5)
fossasia/badgeyay
Sep 2017 - Oct 2017
Attendee Badge Generator for Conferences http://badgeyay.com Backend: http://badgeyay-dev.herokuapp.com
Role in this project:
Full-stack Developer
Full-stack DeveloperContributions:9 commits, 7 PRs, 5 pushes in 18 days
Contributions summary:Pushkal significantly contributed to the attendee badge generator, implementing features and refactoring the codebase. Their work includes adding Eventyay URL integration using Python's `urllib` and `json` libraries to fetch and process event data, and modifying the `main.py` file to handle different input methods (CSV, Eventyay URL). They also introduced enhancements to the user interface, including an options selector for backgrounds and an input field for text to be displayed on the image, and refactored the merge badges workflow.
attendeebadge-generatordevbackendconferences
microsoft/EdgeML
Jul 2019 - Aug 2019
This repository provides code for machine learning algorithms for edge devices developed at Microsoft Research India.
Role in this project:ML Engineer
ML EngineerContributions:14 commits, 6 PRs, 30 comments in 28 days
Contributions summary:Pushkal primarily contributed to the `ProtoNN` and `EMI-RNN` modules within the `edgeml` repository, implementing bug fixes and example updates for the `ProtoNN` and `EMI-RNN` models. They added and modified code, addressing issues in existing code, and improved functionality with the introduction of automode=False to `emirnn.py` while also making minor fixes to several examples, including those for FastCell GRNN and ProtoNN, indicating an active role in maintaining and improving the machine learning model implementations. The user also focused on minor changes and bug fixes on the BonsaiTrainer and FastCell GRNN implementations.
classifieredge-machine-learningsensortensorflowmicrosoft
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