About

Rajat Garg is a Conversational AI/Chatbot Developer at Capgemini with over 5 years of relevant experience in the field of software engineering, data science, and machine learning. He has a Master's degree in Computer Applications from Dr. A.P.J. Abdul Kalam Technical University and a Bachelor's degree in Computer Science from CCS University. Rajat has worked with various companies in the past, including m2r Technomations LLP and GlobalLogic, where he held positions as a Machine Learning Engineer and Data Analyst, respectively. At m2r Technomations LLP, he worked on computer vision, NLP, and RPA projects, while at GlobalLogic, he worked on AI/ML projects for Google related to computer vision and deep learning using PyCharm and Python. Rajat's tech stack includes ML, AI, deep learning, NLP, computer vision, image processing, data scientist, research scientist, AWS, software engineer, Python, TensorFlow, neural networks, big data, SQL, GCP, BERT, text classification, SVM, Keras, Sagemaker, CNN, RNN, language models, Spark, NodeJS, mobile, frontend, and backend. As a Chatbot Developer at Capgemini, Rajat is responsible for developing conversational AI solutions for clients using his expertise in various technologies. He is a skilled problem-solver and is always eager to learn new technologies and apply them to his work. Rajat's passion for technology and his commitment to delivering high-quality work make him a valuable asset to any team.