Rajat Saini
Software Engineer - Machine Learning at Woven by Toyota
Tokyo, Japan
Summary
👤
Senior🎓
Top SchoolRajat Saini is a Machine Learning Software Engineer based in Tokyo with 10 years of experience building deep learning systems for autonomous driving and smart-city applications. At Woven by Toyota he co-developed Woven-VLLM—winner of the GENIAC Modeling Category and a top-ranked model on the MVBench leaderboard—and led large-scale caption curation and the WTS dataset paper accepted to ECCV'24. His prior work at Woven Planet focused on trajectory prediction, distraction and road-departure alerts, and intersection occupancy using PyTorch, GNNs, LSTMs and C++ in production contexts. Rajat combines research-grade modeling with production engineering, comfortable across dataset pipelines, model development, and deployment in cloud environments. He holds an MTech from IIT Hyderabad and often bridges academic rigor with practical system design in embedded and city-scale AI projects.
10 years of coding experience
2 years of employment as a software developer
Master of Technology - MTech, Computer Science & Engineering, Master of Technology - MTech, Computer Science & Engineering at Indian Institute of Technology, HyderabadBachelor of Technology (B.Tech.), Computer Science and Engineering, Bachelor of Technology (B.Tech.), Computer Science and Engineering at Guru Nanak Dev University
English, Hindi, Punjabi, Japanese
Stackoverflow
557reputation
38kreached
15answers
20questions
Github Skills (32)
simulator10
deep-reinforcement-learning9
unreal-engine-49
simulation9
ros9
computer-vision9
carla8
autonomous-driving8
self-driving-car8
artificial-intelligence8
imitation-learning8
airsim7
ai7
cross-platform7
autonomous-vehicles7
Programming languages (4)
Github contributions (5)
rajatsaini0294/Aller
Mar 2017 - Mar 2017
Contributions:134 pushes, 1 branch, 1 issue in 21 days
rajatsaini0294/rajatsaini.github.io
Sep 2017 - Jun 2020
Contributions:2 pushes, 1 branch in 2 years 9 months
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