Sushant Agarwal is a machine learning engineer with seven years of experience building AI-powered, scalable healthcare solutions, currently leading LLM, generative agent, and medical imaging initiatives at Excelra. He architects agent-driven pipelines and large-scale ETL systems—having scaled ingest from 5M to 150M+ rows and cut AWS costs by 55%—to turn unstructured clinical data into actionable insights. His research on medical image analysis has been published in IEEE and MDPI, and he previously built deep-learning CT segmentation systems for COVID-19 and cancer detection. A Cloud- and MLOps-oriented practitioner fluent in Python and deep learning, he bridges clinical collaboration and production engineering to deliver real-world impact. As an active mentor with Major League Hacking and DeepLearning.AI, he cultivates the next generation of AI talent while keeping one foot in hands-on research and the other in scalable product delivery.
7 years of coding experience
4 years of employment as a software developer
Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at International Institute of Information Technology Hyderabad (IIITH)
Data Scientist Nanodegree, Computer Science, Data Scientist Nanodegree, Computer Science at Udacity
Bachelor of Technology, Computer Science and Engineering, Bachelor of Technology, Computer Science and Engineering at Dr. A.P.J. Abdul Kalam Technical University
Implementation of Segnet, FCN, UNet , PSPNet and other models in Keras.
Contributions:12 commits, 11 pushes, 1 comment in 4 months
fcnpspnetdeep-learningsegnettensorflow
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Sushant Agarwal - Senior Scientific Specialist 1 at Excelra