Arjun Jain

Founder

Bengaluru, Karnataka, India14 yrs 9 mos experience

Most Likely To SwitchAI ML Practitioner

Key Highlights

Pioneered human pose technology for Mercedes MBUX.
Achieved 99.8% accuracy in driver attention classification.
Led AI research at top institutions and companies.

Stackforce AI infers this person is a leading expert in AI and Computer Vision for the Automotive and Education sectors.

Contact

arjun@fastcode.ai LinkedIn

Skills

Core Skills

University LecturingComputer VisionDeep LearningMachine LearningSoftware Design

Other Skills

Academic AdvisingAlgorithmsArtificial IntelligenceC++Data MiningDistributed SystemsGPGPUImage ProcessingJavaLaTeXNatural Language ProcessingOpenCVPattern RecognitionProgrammingPython

About

Hey, I'm Dr. Arjun Jain. I grew up in Jiaganj on the Ganges. My mom became a schoolteacher so we could study; my dad - an IIT Kharagpur dropout who ran a sawmill - got paid when the timber shipped, not before; my grandfather, a jute trader who lost big, taught me to avoid hype and bet only on fundamentals. After a PhD at Max Planck and a postdoc with Yann LeCun at NYU, I worked on Apple's self-driving program. Then I founded Perceptive Code in Silicon Valley—our human pose technology became part of Mercedes MBUX after they acquired us. Today I run Fast Code AI in Bangalore. We're your outsourced R&D team - we embed with your researchers, co-author the papers, and solve the hardest AI problems. Recent work: video diffusion models, LLM post-training on custom datasets, foundational time series models that actually work in production. You own all code and IP. Mercedes, Bosch, VW, and Aramco trust us with their hardest problems. We know the difference between research that publishes and code that ships - and we do both. If your team needs breakthrough AI, not just another implementation, let's talk. The difference between shipping and talking about shipping is everything.

Experience

Smallest.ai

Senior Advisor and Chief Scientist

Jan 2024 – Present · 2 yrs 2 mos · Bengaluru, Karnataka, India · On-site

Indian institute of science (iisc)

Adjunct Faculty Member

Jan 2020 – Jul 2025 · 5 yrs 6 mos

- Co-teach the DLCV (Deep Learning for Computer Vision) course at the CDS Dept.

University LecturingAcademic Advising

Fast code ai

Founder and Chief Scientist

Sep 2018 – Present · 7 yrs 6 mos · Bangalore · On-site

Indian institute of technology, bombay

Assistant Professor

Dec 2016 – Jan 2019 · 2 yrs 1 mo · Mumbai, Maharashtra, India · On-site

Instructed the computer vision course, available at https://github.com/cs763/Spring2018, and effectively mentored 2 PhD students to graduation. I’m especially proud that Rishabh Dabral has become an Assistant Professor (Group Leader) at my alma mater, the Max Planck Institute for Informatics.
https://www.cse.iitb.ac.in/people/former-faculty.php

Academic AdvisingUniversity LecturingComputer VisionArtificial IntelligenceDeep LearningImage Processing+1

Apple

Senior Researcher

Jul 2015 – Nov 2015 · 4 mos · United States · On-site

𝗟𝗲𝗱 𝗶𝗻𝘁𝗲𝗿𝗶𝗼𝗿 𝗺𝗼𝗻𝗶𝘁𝗼𝗿𝗶𝗻𝗴 𝗮𝗻𝗱 𝗼𝗰𝗰𝘂𝗽𝗮𝗻𝘁 𝘀𝗮𝗳𝗲𝘁𝘆 𝗽𝗲𝗿𝗰𝗲𝗽𝘁𝗶𝗼𝗻 𝘀𝘆𝘀𝘁𝗲𝗺𝘀 𝗳𝗼𝗿 𝗔𝗽𝗽𝗹𝗲'𝘀 𝗣𝗿𝗼𝗷𝗲𝗰𝘁 𝗧𝗶𝘁𝗮𝗻 within the Special Projects Group (SPG). Architected driver monitoring system (DMS) and occupant monitoring system (OMS) achieving ASIL-B compliance with real-time driver state detection, occupant classification, and safety-critical alerting mechanisms.
𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗲𝗱 𝗺𝘂𝗹𝘁𝗶-𝗺𝗼𝗱𝗮𝗹 𝗰𝗮𝗯𝗶𝗻 𝘀𝗲𝗻𝘀𝗶𝗻𝗴 𝗮𝗿𝗰𝗵𝗶𝘁𝗲𝗰𝘁𝘂𝗿𝗲 integrating NIR cameras, radar, and ultrasonic sensors to enable comprehensive occupant understanding. Built perception pipeline processing interior sensor data at 60Hz, achieving <50ms latency for critical safety events including drowsiness detection, distraction monitoring, and child presence detection.
𝗞𝗲𝘆 𝗮𝗰𝗵𝗶𝗲𝘃𝗲𝗺𝗲𝗻𝘁𝘀:
Achieved 99.8% accuracy in driver attention state classification across diverse lighting conditions
Reduced false positive rates by 75% through advanced sensor fusion and ML algorithms
Implemented privacy-preserving edge processing maintaining full functionality without cloud connectivity
Developed GDPR/CCPA compliant architecture processing biometric data on-device
𝗡𝗼𝘄 𝗮𝗰𝗰𝗲𝗹𝗲𝗿𝗮𝘁𝗶𝗻𝗴 𝗮𝘂𝘁𝗼𝗺𝗼𝘁𝗶𝘃𝗲 𝗶𝗻𝘁𝗲𝗿𝗶𝗼𝗿 𝘀𝗲𝗻𝘀𝗶𝗻𝗴 𝗶𝗻𝗻𝗼𝘃𝗮𝘁𝗶𝗼𝗻 through FastCode.ai, leveraging Apple's human-centric design philosophy to solve complex driver monitoring and cabin safety challenges for next-generation vehicles.
💬 𝗟𝗲𝘁'𝘀 𝗱𝗶𝘀𝗰𝘂𝘀𝘀 𝗵𝗼𝘄 𝗔𝗽𝗽𝗹𝗲'𝘀 𝗮𝗽𝗽𝗿𝗼𝗮𝗰𝗵 𝘁𝗼 𝗽𝗿𝗶𝘃𝗮𝗰𝘆-𝗳𝗶𝗿𝘀𝘁 𝗽𝗲𝗿𝗰𝗲𝗽𝘁𝗶𝗼𝗻 𝗰𝗮𝗻 𝘁𝗿𝗮𝗻𝘀𝗳𝗼𝗿𝗺 𝘆𝗼𝘂𝗿 𝗶𝗻𝘁𝗲𝗿𝗶𝗼𝗿 𝗺𝗼𝗻𝗶𝘁𝗼𝗿𝗶𝗻𝗴 𝘀𝘆𝘀𝘁𝗲𝗺𝘀.