About

Utkarsh Srivastava is a Machine Learning Engineer with a passion for Deep Learning, Computer Vision, and NLP. He is a self-motivated individual who is committed to improving his skills while contributing to his organization with his technical, innovative, and logical skills. Utkarsh is currently working as a Software Developer (Machine Learning) at Chenoa Information Services. He has experience with Agile/Scrum software development methodologies and engineering best practices. He has collaborated on the development and implementation of new machine learning systems, researched, developed, and evaluated deep learning models for image classification, object detection, and named entity recognition, and deployed them into production on AWS. He also has experience in data analysis and data preparation pipeline development. Utkarsh has a working knowledge of REST APIs usage and providing support in building them. Utkarsh has previously worked as a Deep Learning Application Developer Intern at Technocolabs, where he was the team lead for the group of interns working on the final deep learning project. He has also worked as a Machine Learning Intern at Fouses, where he took sessions on Machine Learning for the interns under training program and worked on projects based on Machine Learning assigned by the manager. Utkarsh holds a Bachelor of Engineering in Computer Science from PES Institute of Technology & Management, Shivamogga, and is currently pursuing a Master of Science in Data Science from Northwestern University. In addition to his professional work, Utkarsh enjoys traveling to different places, entertaining people with his dancing and mimicry skills, and is a big animal lover and environmentalist. His technical competencies include Machine Learning, Deep Learning, Tensorflow, Keras, Computer Vision, NLP, Python, C++, SQL, NoSQL, Power BI, FastAPI, and Git. With 2.11 years of relevant experience, Utkarsh is a valuable addition to any team looking to develop and implement innovative machine learning solutions.