Paarvendhan Puviyarasu is a Data Scientist specializing in computer vision and machine learning with nine years of experience building production-ready models and robotics systems. Currently at Walmart, he applies deep learning frameworks like TensorFlow and PyTorch to optimize object detection, segmentation, and real-time inference pipelines. His background includes robotics engineering and mentoring—he scaled student outcomes as an AI mentor at Udacity and engineered multi-robot coordination systems that reduced per-robot hardware costs by 60%. Notable projects include a pose-estimation sports-tracking system, a streamlined Mask-RCNN + GAN virtual try-on pipeline, and an end-to-end 3D image capture-to-AWS modeling workflow, demonstrating a knack for marrying research models to hardware and cloud production. Based in Dallas, he combines academic training in robotics (MS, Arizona State) with hands-on deployment experience to deliver faster, smaller, and more robust CV solutions.
9 years of coding experience
1 year of employment as a software developer
Master's degree, Robotics and Autonomous Systems (AI Concentration), Master's degree, Robotics and Autonomous Systems (AI Concentration) at Arizona State University
Bachelor of Engineering (B.E.), Electrical and Electronics Engineering, Bachelor of Engineering (B.E.), Electrical and Electronics Engineering at Saveetha Engineering College
An Image classifier to identify whether the given image is Batman or Superman using a CNN with high accuracy. (From getting images from google to saving our trained model for reuse.)
Contributions:79 commits, 1 PR, 72 pushes in 2 years 4 months
Contributions:87 commits, 2 PRs, 74 pushes in 3 years 4 months
roboticsrobots
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Paarvendhan Puviyarasu - Data Scientist - Computer Vision Machine Learning