Shubhmay Potdar

Shubhmay Potdar

Sr. Tech Lead Data Science @ Aera Technology

About Shubhmay Potdar

Shubhmay Potdar is a Sr. Tech Lead in Data Science at Aera Technology in Pune, India, with extensive experience in developing distributed AutoML systems and MLOps platforms.

Current Position at Aera Technology

Shubhmay Potdar is currently working as a Sr. Tech Lead - Data Science at Aera Technology in Pune, Maharashtra, India. In this role, he leads a team to build a distributed AutoML system. The system employs Bayesian optimization alongside an aggressive racing mechanism to select machine learning pipelines. Additionally, the team develops boosting algorithms, bagging algorithms, and neural networks that run in parallel on a Kubernetes cluster.

Previous Roles and Experience

Shubhmay Potdar has held several roles at Aera Technology, including Senior Data Scientist (2019-2020) and Manager - Data Science (2019-2023) in Pune, Maharashtra, India. Before his tenure at Aera Technology, he worked as Assistant Vice President - Data Scientist at Barclays Investment Bank in 2019 for a brief period in Pune, Maharashtra. His earlier roles include Senior Software Engineer (2015-2019) and Software Engineer (2012-2015) at eQ Technologic, as well as a Software Trainee position at Persistent Systems in 2011.

Education in Computer Science and Engineering

Shubhmay Potdar holds an Online Master of Science in Computer Science (Machine Learning) from Georgia Institute of Technology, acquired between 2020 and 2022. He earned his Bachelor of Engineering in Computer Engineering from Vishwakarma Institute of Technology, Pune, completing the program from 2008 to 2012.

Notable Projects and Initiatives

During his career, Shubhmay Potdar has spearheaded the creation of an MLOps platform on Kubernetes. This platform includes automated deployment, environment management, model monitoring, drift detection, and AB testing features. He has also been involved in developing a distributed AutoML system and engaged in a research project aimed at optimizing inventory management in multi-echelon supply chains through reinforcement learning.

Research Interests in AI and Healthcare

Shubhmay Potdar has a keen interest in applying AI to healthcare, particularly in the domain of drug discovery. He aims to pursue further research in this field, focusing on how artificial intelligence can advance healthcare solutions and contribute to significant improvements in drug discovery processes.

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