About

Rajat Kumar is a Researcher specializing in Deep Learning and AI, currently working at TCS Research. With a keen interest in publishing reproducible research that benefits society and the research community, Rajat is dedicated to advancing the field of AI and Machine Learning. Rajat's expertise lies in Natural Language Processing (NLP) and Machine Learning, where he has worked on research prototypes and POCs. He has also been involved in research projects that have been accepted in prestigious conferences such as ACM International Conference (BuildSys) held at Columbia University, New York, USA. Rajat's past experience includes working as a Summer Research Intern at Indian Institute of Technology Gandhinagar, where he and his team's research paper got accepted under the guidance of Dr. Nipun Batra. The paper titled "Towards reproducible state-of-the-art energy disaggregation" was well-received by the research community. He has also worked as a Teaching Assistant at Dhirubhai Ambani Institute of Information and Communication Technology. Rajat holds a Master's degree in Machine Intelligence from Dhirubhai Ambani Institute of Information and Communication Technology. He is a proficient Research Scientist with a strong technical background in AI, Deep Learning, NLP, and ML. With over three years of relevant experience, Rajat is committed to delivering high-quality research work that can have a positive impact on society. Rajat can be found on his website https://rajat-kumar.netlify.app/, where he shares his research work and interests.