Summary
Charudatta Manwatkar is a Machine Learning Data Scientist with 11 years of experience applying deep learning and classical ML to high-impact problems across healthcare, infrastructure, and finance. Currently at Agilent Technologies and pursuing a PhD at NITGOA, he has produced clinically validated imaging models—e.g., GAN-based chest X-ray augmentation that halved X-ray exposure risk and U-Net segmentation achieving a 0.87 dice score at UCSF. He has delivered production NLP and CV systems that saved thousands of work-hours for an international bank and detected >90% of road damages for a WEF-featured project. Trained in physics (BITS Pilani) and data science (University of San Francisco), he blends strong theoretical foundations with practical deployment experience. His interests span hardware accelerators, cryptography, network security and blockchain, reflecting a rare cross-disciplinary fluency that helps bridge model design with systems and product constraints.
11 years of coding experience
4 years of employment as a software developer
BITS Pilani, Birla Institute of Technology and Science
MS in Data Science, Data Processing, MS in Data Science, Data Processing at University of San Francisco