A physicist turned AI product leader, building intelligent products from the ground up — across education, hiring, and beyond.
Dr. Ambar Jain is an AI product leader who builds intelligent products from the ground up. A physicist by training — PhD from MIT, where he was a Presidential Fellow — he has spent 14+ years across research, academia, and industry, and has taken eight products from 0 → 1 in EdTech, HireTech, and AstroTech. His work sits at a rare crossroads of physics, product, AI, and pedagogy.
Co-discoverer of the Rapidity Renormalization Group at Carnegie Mellon — a new instrument for jet physics and QCD.
A decade at IISER Bhopal, Head of Physics, and founder of CREATES — a national Teaching–Learning Centre.
8 products taken 0 → 1 — from AI platforms (TechScore, TalentAI) to immersive learning spaces (Studio AIR).
Author of Physics Through Computational Thinking — building physical intuition through computational reasoning.
Owns end-to-end product innovation — strategy, architecture, and delivery — for AI-powered recruitment (HireTech) and assessment platforms built from scratch: TechScore and TalentAI. Promoted from Director in 2024.
Drove product innovation on an AI-based adaptive-learning platform — sharpening the adaptive algorithm, revamping the LMS for product-led growth, and shipping a pay-per-use WhatsApp support & sales bot.
Founded a national Teaching-Learning Centre — raising $600K in competitive government funding and leading it to self-sustainability, impacting 50,000+ teachers and learners. Built Examineer and two built-pedagogy learning spaces.
Taught 12 courses to 1,000+ students and led a high-energy-physics research team. Head of the Physics Department (2014). Pioneered Conversational Pedagogy during the pandemic.
Co-discovered the Rapidity Renormalization Group, resolving a resummation problem in jet physics and QCD — two foundational papers with 550+ citations.
In HireTech, he built two enterprise platforms from scratch — TechScore and TalentAI — reinventing assessment and recruitment through intelligent automation. Both are backed by an in-house AI proctoring stack he architected: candidate detection from facial features, clothing and build; voice diarization; eye-gaze tracking; and face recognition.
Earlier, Examineer — his computationally-intelligent online assessment system — reached 15,000+ users and earned the Wolfram Innovator Award for its inventive use of the Wolfram Language.
Dr. Jain is one of India's foremost practitioners of Built Pedagogy — the idea that physical and digital learning spaces silently shape how people learn. He founded CREATES, a teaching-and-learning centre, and designed the Studio AIR learning space end-to-end.
As an invited trainer, he has trained 1,000+ faculty across dozens of institutions and taught 14 different courses over a decade in the classroom — two of them well outside physics.
He is the author of Physics Through Computational Thinking (forthcoming) — a book that teaches physics by computing it: intuition first, formulas second. It distills his signature method — define, translate, compute, interpret — and turns abstract physics into something a learner can build and explore. A companion MOOC on NPTEL/SWAYAM reached 5,000+ learners.
KP Astro (kpastro.ai) is Dr. Jain's latest 0 → 1 build: a modern Krishnamurti Paddhati (KP) astrology platform. It brings together a precision KP chart engine with a modern interface, horary astrology, a built-in reference book, and an almanac — paired with AI-grounded predictions, a learning ecosystem, and an astrologer community.
Precision · Prediction · Proof