Aqib Mehmood

I started out in the trenches of computer vision, tuning YOLO models and pushing edge devices like Raspberry Pi and Jetson Nano to their limits. Real-time object detection, security systems, monitoring systems—if it involved squeezing accuracy out of limited compute, I was hooked.

That hands-on grind gave me a deep respect for optimization and reliability. By the time edge ML was stable in production, the AI landscape had shifted. The rise of large language models pulled me into a new frontier—RAG pipelines, and agentic AI systems. Suddenly, the work wasn’t just about frames per second—it was about reasoning, context, and scale.

Since then, I’ve built a wide range of AI solutions—from brand agents that bring companies closer to their audiences, to enterprise-grade compliance systems that combine LLMs, RAG, and computer vision. My focus is always the same: creating solutions that are accurate, efficient, and cost-effective.

When I’m not working, you’ll usually find me playing video games or diving into a new skill to learn.