Summary
Anil Nayak is a Machine Learning leader with 9 years of experience building production-ready computer vision systems and edge AI platforms, currently managing and leading ML engineering at Metropolis in Los Angeles. He combines deep learning research skills with pragmatic engineering—optimizing and deploying models on Jetson and Raspberry Pi hardware using TensorRT, CUDA, VisionWorks and VPI, and building end-to-end ML pipelines on GCP. His background spans high-throughput finance systems and embedded edge solutions, giving him a rare blend of large-scale software engineering and low-level performance tuning. Notably, he has productionized quantized, pruned models that ran reliably for months on ARM devices and drove customer wins with real-time people-detection and tracking. He is actively learning GPU performance stacks (TVM/NNVM, LLVM) to push inference efficiency further while mentoring and hiring ML and embedded engineers.
9 years of coding experience
9 years of employment as a software developer
Master's, Computer Science, 3.88 / 4.00, Master's, Computer Science, 3.88 / 4.00 at The University of Texas at Arlington
High School, Science, 68%, High School, Science, 68% at Government Autonomous College Angul
Bachelor's degree, Information Technology, 7.93 / 10, Bachelor's degree, Information Technology, 7.93 / 10 at Veer Surendra Sai University Of Technology ( Formerly UCE ), Burla
English, Odia, Hindi