Abid K is a Senior Member of Technical Staff at AMD with 15 years of experience building high-performance software for semiconductor and heterogeneous compute platforms. He specializes in SW/HW acceleration for machine learning and computer vision, parallel processing, and computer architecture, and has delivered runtime and compiler backends that approach hand-optimized kernel performance. At AMD and Xilinx he led work on AIE-enabled LLM acceleration, Vision Compiler codegen for AIE devices, and efficient runtimes for FPGA-based RNN/LSTM deployments. An early OpenCV contributor and Google Summer of Code alumnus, he continues to improve computer vision tooling and docs—adding Python documentation for many core OpenCV functions. Based in Kerala, India, he pairs deep VLSI and FPGA knowledge (M.Tech. in VLSI Design) with practical systems engineering to squeeze real-world performance from novel accelerators. Colleagues rely on him for turning complex hardware capabilities into reproducible, end-to-end inference solutions.
15 years of coding experience
10 years of employment as a software developer
Bachelor of Technology (B.Tech.), Electrical, Electronics and Communications Engineering, Bachelor of Technology (B.Tech.), Electrical, Electronics and Communications Engineering at College of Engineering, Trivandrum
Master of Technology (M.Tech.), VLSI Design, Master of Technology (M.Tech.), VLSI Design at National Institute of Technology Karnataka
This repo contains tutorials on OpenCV-Python library using new cv2 interface
Role in this project:
Back-end Developer
Contributions:1 release, 158 commits, 1 tag in 1 year 3 months
Contributions summary:Abid implemented functions for generating a sample image. They also contributed to the development of an article on thresholding techniques, including the generation of a threshold.html file. Additionally, the user worked on basic layout and structure modifications to the project.
Contributions:32 commits, 1 comment in 1 year 6 months
Contributions summary:Abid primarily contributed to the project by updating and adding documentation. Their commits involve adding Python documentation for various OpenCV functions like `drawMatches`, `boxPoints`, `FAST`, `ORB`, `SIFT`, `SURF`, and non-local means denoising. They also addressed documentation issues related to `morphologyEx`, `imshow`, and other image processing and feature detection functionalities.
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