About

Devesh Yadav is a Full Stack Developer at Goldman Sachs with a Master's degree in Computer Science from the Ira A. Fulton Schools of Engineering at Arizona State University. He has over three years of experience working as a software developer in the healthcare and space industry. Devesh is skilled in C++, Python, C#, and ES and has experience in applied machine learning, full-stack application development, data analysis, and data pipelining. He is interested in distributed systems, systems for machine learning, data science (especially feature engineering), and developing interesting ideas. Prior to joining Goldman Sachs, Devesh worked as a Software Developer at UnitedHealth Group, where he developed end-to-end machine learning solutions and frameworks and a full-stack application for automated report generation for each software build release. He also worked as a Graduate Service Assistant at the Ira A. Fulton Schools of Engineering at Arizona State University, where he had TA-like responsibilities for CSE434- Computer Networks. Devesh's education history includes a Master's degree in Computer Science from the Ira A. Fulton Schools of Engineering at Arizona State University, an Engineer's Degree in Information Technology from the National Institute of Technology Kurukshetra, and a course in Machine Learning by Andrew Ng from Coursera. Devesh is a skilled Software Engineer, ML practitioner, Python expert, and Data Scientist with over three years of relevant experience. He is passionate about developing innovative solutions and is always looking for new and exciting challenges to tackle.