Close

Vismay Patel

Machine Learning Researcher

Download Resume

About Me

I am a Machine Learning and Computer Vision Researcher. I have done my MS by Research from IIT Madras. Currently, I am working as a full-time Applied Scientist at Amazon INC.'s Moderation Automation and Relevance Systems (MARS) team.

Experience

Amazon

Applied Scientist

I am working as part of MARS team that is part of Amazon Ads. I am working on projects related to automatic moderatiom of Ads.

Verisk Analytics Inc.

Machine Learning Engineer

I am working as part of the central AI Research team of Verisk Analytics Inc. I am working on projects involving Document Understanding, Pandemic Modeling, and Document Retrieval using the latest Deep Learning techniques. I am also involved in developing platforms for various Machine Learning Use cases.

CodeNation LLC.

Software Developer

At CodeNation I worked on various innovative projects such as Automatic code analysis and auto fix using code-specific knowledge graphs, Time-series forecasting, and anomaly detection for multi-variate time-series and ML Factory platform for streamlined ML workflow generation.

FindMeAShoe

Internship

At FindMeAShoe, I developed an algorithm to detect four corners of a photographed paper sheet where one or more corner(s) could be occluded. We made use of human pose estimation techniques for occlusion aware boundary detection.

Education

Indian Institute of Technology Madras

August 2014 - January 2018

Masters of Science in Computer Science

My Masters' thesis is titled "Data Augmentation using Part-based Deformations of Shapes", where I propose new data augmentation techniques using part decomposition of shapes. During my Masters', I have also worked on projects involving Pedestrian Detection, Sketch-based Image Retrieval, Bi-modal Personality Analysis, and Image and Video Inpainting.

Institute of Technology, Nirma University

August 2010 - May 2014

Bachelor of Technology in Information Technology

Projects

Data Augmentation using Part-based Deformations of Shapes (Matlab, Torch)

Done as part of my thesis research work. This project addresses the problem of learning good image classifiers with limited labeled data. We propose to use the part analysis of shapes extracted from available images to augment the labeled data. We show improved performance with CNN classifiers for shape classification tasks using such augmentation.

View Publication

Personality Analysis from Inerview Videos (Lua, Torch)

Done as part of "First Impressions" challenge organized by Chalearn Looking at People, where we designed and implemented a Deep Learning based solution for Personality Analysis from Videos. We employed a novel training technique for videos and scored 2nd rank in the competition.

View Project      View Publication

Video and Image inpainting (Python, Pytorch)

Done as part of challenges organized by Chalearn Looking at People on Image and Video Inpainting, where we employed GAN based techniques to remove captions from videos and images. We scored 3rd rank in the competition.

View Project 1  2      View Publication 1  2

Skills

Get in Touch