Madhur Jindal's Linkedin Analytics

I am driven by an unwavering passion for continuous learning and expanding my expertise in the field of Machine/Deep Learning. Each day, I immerse myself in new research and advancements, making it my hobby to constantly grow and embrace the role of a perpetual student. - Graduate student from the Indian Institute of Technology Madras, specialising in Data Science/Machine Learning. - Completed renowned Stanford course by Andrew Ng, gaining a solid foundation in Machine Learning and setting the stage for my journey into AI. - Deepened my knowledge and practical skills through the Deep Learning specialization by deeplearning.ai, fueling my passion for the field. - Received Millennium Fellowship of the United Nations Academic Impact and MCN, selected from 15,000 applicants worldwide, leading 1,000+ Fellows in a technology-focused health and wellbeing initiative. - Led the Entrepreneurship Club at IIT Madras, overseeing a 3-tier team to promote entrepreneurship and organize a pan-India summit. E-Summit, India's first ISO-certified summit, offered workshops, keynotes, competitions, and valuable resources for aspiring entrepreneurs. - Expanded my academic pursuits by extending my bachelor's program to pursue a master's degree in Data Science, furthering my expertise. - Worked at Microsoft India, contributing to the ranking problem for the People Also Ask (PAA) block of the Bing Search Engine, implementing cutting-edge ideas from research papers. - Currently serving as a part-time NLP engineer at Cymorg Inc., where I've gained valuable startup experience and focused on creating ML-powered products. - Actively engaged in the Full Stack Deep Learning course by UC Berkeley alums, honing my skills in building end-to-end ML systems. - Conducting research with Prof. Arun Tangirala in the Question Generation space using NLP, exploring innovative applications of natural language processing. - Proud achievement: Developed a highly successful gibberish detector for the English language, with 975k downloads in a month and reaching the 3rd page of most downloaded models worldwide on HuggingFace, competing with models from industry giants like Google, Microsoft, Meta, and others.