About

Gagan M is a highly experienced ML Engineer with over 12 years of expertise in designing, developing, and deploying software products for various industries such as education, finance, building automation, manufacturing, and project portfolio management. He has a strong passion for open source projects and actively contributes to them. Gagan is always on the lookout for the latest technological advancements and best practices, constantly improving his knowledge on various aspects of computer science. One of his specialties is rapid prototyping, and he has a knack for learning new technologies with a steep learning curve quickly. His technical skills include Sklearn, Pandas, NumPy, Spacy, Tensorflow, PyMC, React.js, Webpack, Jest, D3.js, Node.js, MongoDB, Neo4j, SQL, and AWS. Currently, Gagan works as a Machine Learning Engineer at Planview, where he is involved in probabilistic programming, project risk analysis using Bayesian methods, domain-specific language models, Q&A systems to help find contextual product documentation, NLU for intent recognition, and RASA chatbot. In the past, he has worked as a Technical Lead at Samsung, where he worked on React.js and MongoDB, and as an Engineer at Collabera, where he was involved in the design, development, and deployment of applications for financial institutions using C#, Win Forms, WPF, and Silverlight. Gagan holds a Master of Science (M.S.) in Computer Science from the Illinois Institute of Technology and a Bachelor of Engineering (B.E.) in Computer Science from Vishveshwaraiah Technological University. He has also completed a Professional Certificate in Negotiations - The MIT Mutual Gains Approach from MIT xPRO and a New Ventures Leadership course from Massachusetts Institute of Technology. Gagan's tech stack includes ML, Javascript, ReactJS, SQL, AWS, NLU, MongoDB, Neo4j, language models, Scikit, Tensorflow, Frontend, Pandas, Software Engineer, Senior Software Engineer, AI, Mobile, Integration, product manager, Typescript, Redux, ui, Web, and infra. With almost 9 years of relevant experience, Gagan is a valuable asset to any team he works with.