Summary
Naveen Vedula is a co-founder and research-driven engineer with 11 years of experience building and optimizing deep neural networks for edge, mobile, and cloud environments. His work spans academia and industry—from compiler and hardware-accelerator co-design at Simon Fraser University to mixed-precision/quantization and adversarial-defense research at Huawei—now channeled into early-stage productization at Alectify. He combines systems-level expertise (memory interfaces, scheduling, dataflow mapping) with practical ML deployment skills, enabling energy-efficient DNNs on constrained devices. Naveen’s background includes hands-on processor verification and embedded ML on ARM Cortex-M, a rare blend that helps translate low-level constraints into robust model optimizations. Based in Vancouver, he is finishing a PhD in Computer Science and brings both entrepreneurial grit and deep technical curiosity to building performant, secure AI at the edge.
11 years of coding experience
11 years of employment as a software developer
Bachelor of Technology (B.Tech.) Electrical and Electronics Engineering, Bachelor of Technology (B.Tech.) Electrical and Electronics Engineering at National Institute of Technology Warangal
Doctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at Simon Fraser University
English, Hindi, Telugu