Soham Ranade
About Soham Ranade
Soham Ranade is a Machine Learning Engineer currently employed at Vianai Systems, Inc. in New York, where he has worked since 2023. He has a diverse background in data science and engineering, with experience at notable organizations such as Amazon and Columbia University.
Work at Vianai Systems
Soham Ranade currently holds the position of Machine Learning Engineer at Vianai Systems, Inc. since 2023. Prior to this role, he worked as a Data Scientist at the same company for two years, starting in 2022. During his time at Vianai, he developed his own modules and gained insights into the US work culture and responsibilities associated with data science. He also served as a Data Science Intern from 2021 to 2022, where he contributed to various projects.
Education and Expertise
Soham Ranade earned a Bachelor of Engineering in Mechanical Engineering from the Birla Institute of Technology and Science, Pilani, from 2016 to 2020. He furthered his education by obtaining a Master's degree in Mechanical Engineering with a focus on Robotics from Columbia University, where he studied from 2020 to 2022. His academic background includes experience in designing, manufacturing, stress analysis, CAD, and deep learning.
Background and Early Career
Soham Ranade began his career as a Summer Intern at Tata Technologies in 2018, where he worked for two months in Pune, India. He then joined the Indian Institute of Technology, Bombay as a Research Intern for two months in 2019. In 2020, he worked at Amazon as an Area Manager, managing around 300 associates, which provided him with significant leadership experience. He also served as an Area Manager Intern at Amazon for five months in the same year.
Research and Leadership Experience
At Columbia University, Soham Ranade worked as a Research Assistant for four months in 2022 and as a Course Assistant for the Intro to Robotics course from 2021 to 2022. His leadership skills were further demonstrated during his time at BITS Pilani, where he served as Team Captain for Team Robocon from 2018 to 2019. He led sensor integration efforts for the Robotics team and initiated projects such as tethered drone and Autonomous Quadruped.