Vishnu Chand M. S.
@vishnuchandms
Machine Learning Engineer at Hippo Video
Chennai
Vishnu Chand M. S. is an experienced professional with over 7 years in designing and deploying deep learning and computer vision applications. His expertise spans the entire development lifecycle, from research to deployment, including creating hybrid solutions to enhance deep-learning accuracy. He has experience developing and deploying solutions on AWS and holds a patent for dynamic multi-camera tracking.
Experience
Machine Learning Engineer
Hippo Video
Project (text2face): Goal was to generate video of a person speaking a transcript. Solution involved two stages: text2voice (using Google TTS and deep normalizing flow) and voice2face (using wav2lip GAN). Project (virtual background): Developed a cloud-based solution for replacing recorded video backgrounds using HRNet based semantic segmentation and FFMPEG. Project (virtual background speed improvement): Optimized inference speed by experimenting with optimal batch size, implementing thread queue, and using latent vector based skip inference.
Machine Learning Engineer
TCS
Project: Tracking and counting the number of vehicles in Drive-Thru Canopies. Goal was to detect and track vehicles in drive-thru canopies, handling challenges like missing detection, rain, and static objects. Solution involved implementing a motion based confidence boosting algorithm, temporal edge suppression, and a novel vehicle tracking algorithm based on background and static occlusion modeling.
Education
Pondicherry Engineering College
Master Of Technology
Electronics & Communication
Specialization in Electronics and Communication (ECE).
Pondicherry Engineering College
Bachelor Of Engineering
Electronics & Communication
Licenses & Certifications
Patent (11069072) for Dynamic multi-camera tracking of moving objects in motion streams
Credential ID: 11069072