About Me

Computer Vision Engineer passionate about building AI systems that see and understand the world.

Ajay Nallani

Background

I'm a Deep Learning Engineer with 9+ years of experience building computer vision and AI systems that operate in the real world. My work spans autonomous vehicles, retail technology, and aerospace—always focused on taking algorithms from research to production.

Currently, I lead computer vision initiatives at Sam's Club, where I architected the AI-powered exit technology that's deployed across 120+ locations, helping members leave 23% faster. Previously, I contributed to interior sensing systems at Aptiv that shipped in vehicles from BMW, GM, and Ford.

What drives me is the challenge of making AI work on the edge—optimizing models to run efficiently on embedded hardware while maintaining the accuracy needed for safety-critical applications.

Experience

Technical Lead - Computer Vision

Sam's Club

Leading AI-powered exit technology development, deploying computer vision at scale across retail environments.

Deep Learning Engineer

Aptiv

Developed interior sensing systems including gesture recognition and driver monitoring for major automotive OEMs.

Research Scientist

Ford Motor Company

Contributed to BlueCruise driver monitoring research, advancing hands-free driving safety technology.

Senior Perception Engineer

Rotor AI

Built perception systems for autonomous aerial vehicles, enabling precision agriculture applications.

Education

Master's in Computer Information Technology

Purdue University

Bachelor's in Electronics and Communication

SR Autonomous University

Expertise

Computer Vision
Deep Learning
Computer Graphics
Embedded AI
Python / C++
MLOps