About

Saransh Agarwal is a Full Stack Machine Learning expert with a wealth of experience in orchestrating data collection, analysis, iterative model development, and deployment. He is currently a Senior ML and Infrastructure Engineer at January AI, where he plays a key role in driving the company's machine learning initiatives. Saransh began his career at January AI as an Intern, where he focused on building software for the Machine Learning team. He has since risen through the ranks, thanks to his exceptional skills and dedication to his work. Prior to joining January AI, he gained experience as an Intern at another company, where he also worked on building software for the Machine Learning team. Saransh holds a Bachelor of Engineering degree in Computer Engineering from Carnegie Mellon University, which he completed in 2019. During his time at the university, he gained a solid foundation in computer engineering, which has been instrumental in his career as a Full Stack Machine Learning expert. Saransh is highly skilled in ML and infra, and has a wealth of experience in these areas, having worked in the industry for 3.70 years. He is a results-driven professional who is passionate about leveraging his skills and expertise to drive innovation and growth in the field of Machine Learning. In summary, Saransh Agarwal is a highly skilled Full Stack Machine Learning expert with a proven track record of success in orchestrating data collection, analysis, iterative model development, and deployment. He is a valuable asset to any organization that seeks to leverage the power of Machine Learning to drive innovation and growth.