Summary
Abhinav Ayalur is a hands-on CTO and co-founder with a decade of experience building ML-driven and embedded systems, blending expertise in Python, C#, Java, Linux, computer vision, and edge deployments. He has shipped high-performance models and production pipelines—from PyTorch-to-TFLite depth-refinement running at ~100 FPS to Azure-backed voice telemetry APIs—and led ML projects at companies including Microsoft, Niantic, Second Spectrum, and NVIDIA. At UC Berkeley’s Launchpad he progressed from project lead to president, delivering practical research like a 79% playoff prediction model and an efficient MobileNet-V2 animal classifier running on Raspberry Pi. Now based in Cupertino, he combines startup product focus with deep engineering rigor, and outside work still codes for fun and plays saxophone—an unusual creative outlet that mirrors his iterative, performance-minded approach to systems.
10 years of coding experience