Kashyap Chitta
Postdoctoral Researcher at NVIDIA
Tübingen, Baden-Württemberg, Germany
Summary
👤
Senior🎓
Top SchoolKashyap Chitta is a Co-Founder and CTO based in Tübingen with nine years of experience building open-source, compute- and data-efficient self-driving stacks and research-grade autonomous systems. With a PhD in Computer Science from the University of Tübingen and an MS in Computer Vision from CMU, he bridges academic rigor and product-focused engineering, having held multiple roles at NVIDIA including a postdoc researching simulation-based training for Physical AI. He has hands-on contributions to notable projects like TransFuser—working on transformer-based sensor fusion and vehicle control—and has implemented key components such as PID controllers, scenario tooling, and dataset generation pipelines. Kashyap’s work sits at the intersection of visual reasoning and causal world models, and he’s actively hiring to grow an entirely open-source stack that prioritizes efficiency. An unusual strength is his ability to move ideas from moon-rover photometer prototypes to productionized dataset curation engines, reflecting deep systems-level experience across academia and industry.
9 years of coding experience
Bachelor of Engineering, Electrical, Electronics and Communications Engineering, 9.11/10.0, Bachelor of Engineering, Electrical, Electronics and Communications Engineering, 9.11/10.0 at R. V. College of Engineering, BangaloreDoctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at University of Tübingen2nd PUC, PCME, 92.67%, 2nd PUC, PCME, 92.67% at VVS Sardar Patel Pre-University CollegeHigh School, CBSE, 10.0, High School, CBSE, 10.0 at Venkat International Public SchoolMaster of Science - MS, Computer Vision, 4.15/4.33, Master of Science - MS, Computer Vision, 4.15/4.33 at Carnegie Mellon University
English, Telugu, Hindi, Kannada, Tamil
Github Skills (4)
transformers10
python10
data-generation8
bash7
Programming languages (2)
Github contributions (5)
autonomousvision/transfuser
Apr 2021 - Oct 2022
[PAMI'23] TransFuser: Imitation with Transformer-Based Sensor Fusion for Autonomous Driving; [CVPR'21] Multi-Modal Fusion Transformer for End-to-End Autonomous Driving
Role in this project:
ML Engineer
ML EngineerContributions:13 commits, 12 pushes, 2 branches in 1 year 6 months
Contributions summary:Kashyap contributed to the autonomous driving project by implementing and modifying components related to vehicle control and sensor fusion. This includes adding a PID controller, modifying scenario configurations for a bird's eye view perspective, and integrating data generation code. Additionally, the user updated evaluation scripts and file structures. These changes suggest involvement in developing and refining the project's core autonomous driving capabilities.
pytorchtransformersautonomoussensor-fusionend-to-end
kashyap7x/QGN
Mar 2018 - Jan 2020
Contributions:28 commits, 37 pushes, 1 branch in 1 year 9 months
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