About

Bhrigu Garg is a highly skilled Data Scientist and Machine Learning Engineer with over 3 years of experience in the field. He is currently working at Capgemini as a Machine Learning Engineer, where he is responsible for creating MVPs and solving business problems with Natural Language Processing and Computer Vision. Bhrigu has a strong background in ML, Research Science, Deep Learning, Information Retrieval, Computer Vision, AI, NLP, CI/CD, and recommendation systems. Bhrigu has a Bachelor of Technology degree in Computer Science from Thapar University. He has also worked as a Research and Development Intern at the National University of Singapore, where he built a recommendation system for NUS ALSET Achievements. His aim was to recommend problems to students based on their performance. He also developed deep learning and machine learning activities for the NUS ALSET Achievements and served as a Teaching Assistant for Prof. Boesch’s Machine Learning and Deep learning course. At Capgemini, Bhrigu has created a solution using YOLO, Single Shot Detector, and Faster RCNN for detecting faulty insulators in transmission lines. He is also responsible for deploying solutions on edge computing devices such as Neural Compute Stick. Additionally, he is responsible for creating scripts to extract text and tables from pdf documents and has created a script for finding specified keywords and their different forms in the text. The implemented solution is 25 times faster than regex. Bhrigu has also created a modified deep learning-based intelligent handwritten text recognition algorithm and designed the knowledge base for information retrieval for post-processing pipeline. He has created a CI/CD pipeline for automating the building and deployment of the application. Overall, Bhrigu Garg is a highly skilled and experienced Data Scientist and Machine Learning Engineer with a strong background in ML, Research Science, Deep Learning, Information Retrieval, Computer Vision, AI, NLP, CI/CD, and recommendation systems.