About

Hi, Currently, I am working as an AI Engineer at Mercer | Mettl. Before that, I did an internship at ViSenze (Singapore Office - Remote), in the role of AI Algorithm Engineer Intern. I was engaged in the research and development of an intelligent visual search application and built projects like improving the fashion category tagging model using Active Learning. I did my engineering at the Indian Institute of Information Technology, Vadodara, with major in Computer Science & Engineering (2021) [CPI-8.65]. During my AI Research Internship at ML Studies, I worked on a research project to produce better 'Visual Explanations' of decisions made by CNN-based models. I also did a Deep Learning (Computer Vision) Internship at Machine Learning Studies where I worked on an object detection problem for a retail store, using Detectron2 and fine-tuned pre-trained Faster-CNN, Mask-RCNN, and Cascade-RCNN, for this. I explored the problem of domain shift and creating artificial datasets with diversity. I also performed a significant analysis for adding augmentations, views, and constraints. I used image processing and computer vision techniques like morphological processing, connected components, and grabcut to clean up data. I have also contributed as a Junior ML Engineer at Omdena, a global community, where we try to solve real-world problems with the help of AI. I have contributed to 3 Omdena projects. Highly motivated to use #AI4Good. In one challenge, the 'Fighting Illegal Dumping challenge, I collaborated with 50 other AI practitioners in partnership with the Trashout project. I led a subtask and developed models to identify if a shopping product is sustainable and environmentally friendly and to which recycling bin it belongs using deep learning and computer vision techniques. I have worked on several projects like Super-Resolution of an Image using GAN, Instance Segmentation on crack data using Mask R-CNN, Background Subtraction, Content-based Image Retrieval, analysis and times series based forecasting on Birmingham car parking dataset, car detection using YOLO, and implemented the GRAD-CAM with sanity checks (unofficial implementation of ‘Sanity Checks for Saliency Maps’ NIPS - 2018). Computer Vision Engineer Data Scientist AI Algorithm Engineer Deep Learning Engineer Machine Learning Engineer ( ML Engineer )