From Ooty to Helsinki, one pixel at a time.
The Story So Far
Real Work. Real Products.
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Revieve — Where AI Learned to See Skin
At Revieve, I was a part of building computer vision for AI-powered skin and hair analysis. Especially, building and shipping models for detection, classification, and segmentation that are live in production today. I worked directly with customers to understand their problems, designed modal AI system. -
Varjo — Where I Helped Build the Future of Reality
I joined Varjo as one of the early team members when it was just a startup with a bold idea. I helped build their Mixed Reality Video-See-Through system from the ground up — working across camera sensor pipelines, ISP functions, calibration tooling, and custom hardware driver development. I regularly evaluated emerging technologies worldwide to keep Varjo ahead of the market, travelled globally for vendor and customer meetings, and patented a new gaze-tracking method for Mixed Reality systems. -
Applied Materials — Where Chips Got Smarter
At ASM Technologies, I consulted for Applied Materials in Bangalore — working with their Fab Vantage Group to automate semiconductor manufacturing processes. I built statistical models for Fault Detection and Classification that pinpointed defects in ICs during production, directly improving manufacturing yield. -
Manihatty — Where It All Began
I founded Manihatty Semiconductors in Ootacamund, India — building hardware and software systems for robotics, wearables, and IoT. I led teams from early concept through to working prototypes, turning ideas into real products from the ground up.
Classrooms Across Continents
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Specialization : Color Science, Computer Vision and Machine Learning
Semester 1: University of Jean Monnet, France
Semester 2: Universidad de Granada, Spain
Semester 3: University of Eastern Finland, Finland
Semester 4: NTNU, Norway
Summer School: Color Vision (ICVS), Pembroke College Oxford, United Kingdom -
RV-VLSI Design Center, Bangalore, India
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Anna University, Chennai, India
I help companies ship AI that actually works.
Build from scratch
CV and ML systems designed for your hardware, your data, your constraints.
Fix what's broken
Audit, refactor, and retrain underperforming models — fast and without the rebuild cost.
Embed as a Consultant
Work inside your engineering team as a senior AI scientist. No agency overhead, no ramp-up time.
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