Meet Patel is a Senior Lead Engineer based in Bengaluru with 9 years of experience building and optimizing AI and deep learning systems for edge and accelerator hardware. He has a strong track record in model conversion and graph-level optimizations—enabling TensorFlow and ONNX models to run efficiently on custom AI chips—and has led R&D efforts at both PathPartner and Qualcomm. His hands-on work includes building low-latency production models (e.g., license plate recognition without RNNs), inference SDKs using TensorRT, and tooling that patches TensorArray/loop patterns for accelerators. Mentoring, internal technical evangelism, and hiring have complemented his engineering focus, and his academic background (MTech in Software Systems with Data Analytics from BITS Pilani) and deep learning nanodegree reflect a solid mix of theory and applied ML. An often-overlooked strength is his experience bridging mechanical engineering foundations with software-driven embedded inference, giving him practical insight into deployment constraints on real-world devices.
9 years of coding experience
7 years of employment as a software developer
BITS Pilani, Birla Institute of Technology and Science
Online Course, Tensorflow in Practice Module-1 Introduction to Tensorflow, Passed, Online Course, Tensorflow in Practice Module-1 Introduction to Tensorflow, Passed at Coursera
Nanodegree, Deep Learning, Graduated, Nanodegree, Deep Learning, Graduated at Udacity
Bachelor of Engineering (B.E.), Mechanical Engineering, 67 %, Bachelor of Engineering (B.E.), Mechanical Engineering, 67 % at Faculty of Technology and Engineering, MSU
Online Course, Programming in C and C++, 81 %, Online Course, Programming in C and C++, 81 % at Internshala
HSC, 90 %, HSC, 90 % at Parth School of Science and Competition
Benchmarking various Computer Vision models on TinyImageNet Dataset
Contributions:27 commits, 2 PRs, 23 pushes in 10 days
mobilenetpythonclassifierlearning-ratesqueezenet
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