Sourav Sharan
About Sourav Sharan
Sourav Sharan is a Machine Learning Engineer II at HyperVerge Inc., with a background in artificial intelligence and computer vision. He has previously held positions at various companies, including roles as a Machine Learning Engineer I and Deep Learning Intern at HyperVerge Inc., and as an Artificial Intelligence Researcher at Next Tech Lab.
Current Role at HyperVerge
Sourav Sharan currently holds the position of Machine Learning Engineer II at HyperVerge Inc. He has been in this role since 2022, contributing to various machine learning projects and initiatives. His experience in this position builds on his previous tenure at the same company, where he advanced from a Machine Learning Engineer I.
Previous Experience at HyperVerge
Sourav Sharan previously worked at HyperVerge Inc. as a Machine Learning Engineer I from 2020 to 2021. During this time, he was involved in developing machine learning models and algorithms. He also served as a Deep Learning Intern at HyperVerge from 2019 to 2020, where he gained foundational experience in deep learning techniques.
Experience in Artificial Intelligence Research
Before joining HyperVerge, Sourav worked as an Artificial Intelligence Researcher at Next Tech Lab from 2016 to 2020. His role involved conducting research and developing AI solutions. This four-year experience provided him with a solid background in artificial intelligence methodologies.
Education and Qualifications
Sourav Sharan completed his Bachelor of Technology (B.Tech.) in Computer Science at SRM University from 2016 to 2020. Prior to that, he attended Venkateswar International School, where he studied subjects including Physics, Chemistry, Maths, and Computer Science, achieving his High School diploma from 2004 to 2016.
Early Career and Internships
Sourav's early career included a role as a Computer Vision Developer at crea.vision for three months in 2018, where he worked remotely. He also completed a Networking Internship at Tata Power Delhi Distribution Limited for one month in 2018. These experiences contributed to his skill set in computer vision and networking.