Arjunย Jain
Founder And Chief Scientist at Fast Code AI
Bengaluru, Karnataka, India
Summary
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Top SchoolArjun Jain is a founder and chief scientist with nine years of experience building safety-critical perception systems and commercializing academic research. He leads Fast Code AI after architecting ASIL-B compliant driver and occupant monitoring systems at Appleโs Project Titan, delivering sub-50ms latency, privacy-preserving on-device processing, and dramatic reductions in false positives. A PhD-trained computer vision researcher with postdoctoral work at NYU and teaching stints at IIT Bombay and IISc, he bridges deep research rigor with product-driven engineering. He also advises startups like smallest.ai and teaches AI-to-production through AI Masterclass, reflecting a focus on moving models from lab to real-world deployment. Based in Bengaluru, he blends academic mentorship (including guiding students to faculty roles) with hands-on system design for automotive and interior sensing. Less obvious: he pairs high-assurance safety engineering with human-centric, privacy-first architecturesโapplying Apple-style design principles to startup-scale innovation.
9 years of coding experience
8 years of employment as a software developer
Post Doctoral Fellow Computer Science, Post Doctoral Fellow Computer Science at NYU Courant Institute School of Mathematics, Computing, and Data ScienceDoctor of Philosophy (PhD) Computer Science, Doctor of Philosophy (PhD) Computer Science at Universitรคt des SaarlandesBachelor of Engineering (BE) Computer Science and Engineering, Bachelor of Engineering (BE) Computer Science and Engineering at RV College Of Engineering
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (6)
spring6
deep-learning5
machine-learning5
computer-vision5
pytorch3
tensorflow2
Programming languages (1)
Github contributions (3)
cs763/Spring2018
Mar 2017 - Mar 2018
Contributions:75 commits, 100 pushes, 1 branch in 1 year
cs763/Spring2019
Aug 2018 - Apr 2019
The Computer Vision Course at IITB (CS763), Spring 2019
Contributions:9 commits, 7 pushes, 1 branch in 7 months
visiondeep-learningcomputer-visionmachine-learningiitb
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