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Aditya Cherukumudi

Data Science - Machine Learning - AI - Research

Professional Background

Aditya Cherukumudi is a distinguished AI & ML Scientist with four years of hands-on experience in Machine Learning (ML) and Deep Learning (DL) technologies. With expertise in leading frameworks such as SciPy, Keras, and TensorFlow, Aditya has made significant contributions to the field of artificial intelligence, particularly in sports analytics and computer vision. His current position at Stats Perform plays a pivotal role in advancing broadcast technologies through innovative ML applications, specifically with the AutoSTATS product that features broadcast-based player tracking technology.

At Stats Perform, Aditya has been involved in a multitude of projects that span the entire development lifecycle—from research and proof-of-concept creation to production deployment and batch processing via AWS infrastructure. With extensive experience in AWS services including Batch, ECR, ECS, EKS, and S3, Aditya has not only enhanced the operational efficiency of automated model retraining pipelines but has also implemented robust hyperparameter search techniques using Kubernetes and Katib.

Prior to his current role, Aditya served as a Research Associate at Disney Research in Pittsburgh, where his focus was on leveraging deep learning methodologies for modeling multi-agent trajectories in sports contexts. He was an integral member of the Audience Insights group, which utilized computer vision techniques to analyze audience behavior and predicted the success of TV shows and movies. Notably, he presented his innovative research titled “Realtime Interactive Play Sketching with Synthesized NBA Defenses” at the MIT Sloan Sports Analytics Conference in 2018. His team's work was awarded second place in the Research Papers Competition and was termed the “coolest paper” of the conference by The Ringer, reflecting the groundbreaking nature of their findings.

Education and Achievements

Aditya Cherukumudi holds a Master of Science (M.S.) in Mechanical Engineering from Carnegie Mellon University, where he graduated with a perfect GPA of 4.0/4.0. His academic excellence is further demonstrated by his undergraduate education at the Birla Institute of Technology and Science, Pilani, where he earned a Bachelor of Engineering (BE) in Mechanical Engineering with an impressive score of 9.11/10.

Throughout his academic journey, Aditya has also contributed to the academic community as a Graduate Teaching Assistant, honing his skills in knowledge dissemination while supporting the education of fellow students in advanced engineering concepts. His internship experience includes roles at Human Motion Technologies as a Robotics Engineer Intern, and at the Institute of High Performance Computing as a Research Assistant, where he gained invaluable experience in practical applications of the theories learned in his studies.

Achievements

Some notable achievements throughout Aditya's career include:

  • Development of AutoSTATS: Spearheaded the creation of a cutting-edge broadcast-based player tracking technology at Stats Perform, significantly enhancing analytics capabilities in sports broadcasting.
  • Second Place at MIT Sloan Sports Analytics Conference: Recognition for innovative research demonstrating real-time interactive play sketching utilizing synthesized basketball defenses.
  • Expertise in Deep Imitation Learning: Developed algorithms that predict and simulate context-specific defensive behaviors in basketball, contributing to the field of computational modeling and sports analytics.
  • Robust AWS Infrastructure Management: Established an automated model re-training pipeline using EKS on AWS, demonstrating efficiency in model updates and deployment processes within a fast-paced technology environment. Aditya's commitment to sports does not end with his professional endeavors. He is a certified Animal Flow instructor, sharing his passion for fitness and well-being by teaching online classes in his spare time. This unique blend of technical expertise and enthusiasm for sports makes Aditya a well-rounded professional dedicated to advancing both technology and his personal interests.

In summary, Aditya Cherukumudi embodies a perfect blend of technical skill, industry experience, and personal passion. His contributions to AI and ML within the sports sector highlight his forward-thinking mindset and his ability to drive innovation. He continues to inspire others with his commitment to excellence and is poised for future successes as he advances in the dynamic and exciting world of artificial intelligence and machine learning.

Related Questions

How did Aditya Cherukumudi develop his expertise in AWS services such as Batch, ECR, ECS, EKS and S3?
What challenges did Aditya Cherukumudi face while working on the AutoSTATS technology at Stats Perform?
Can Aditya Cherukumudi share insights on the significance of deep imitation learning in sports analytics?
What inspired Aditya Cherukumudi to pursue a career in AI and ML, particularly in the context of sports?
How has Aditya Cherukumudi contributed to the field of audience behavior analysis at Disney Research?
Aditya Cherukumudi
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Location

London, England, United Kingdom