Chinmay Savadikar is a Ph.D. candidate and research intern with nine years of experience building and deploying deep learning systems, currently focused on continual learning, fine-tuning, and safety for large language models. He brings a strong applied computer vision background—delivering high-accuracy image recognition, object detection, and segmentation solutions—and has led end-to-end ML pipelines from data annotation and incremental training to cloud deployment and MLOps. At Persistent Systems he standardized model training and SDKs and produced production-scale workflows; at NC State he developed cloud-based semi-supervised annotation tools and image-to-global-coordinate algorithms for precision agriculture. Now at Shopify and previously advising in an interpretable visual modeling lab, he combines academic rigor with practical engineering (Docker, SageMaker, MLflow, W&B) to make research reproducible and deployable. Outside work he balances technical curiosity with creative interests in fiction, oldies rock, and football, reflecting a collaborative, interdisciplinary approach to problem solving.
9 years of coding experience
6 years of employment as a software developer
Doctor of Philosophy - PhD Electrical Engineering, Doctor of Philosophy - PhD Electrical Engineering at North Carolina State University
Bachelor of Engineering Electronics and Telecommunication Engineering, Bachelor of Engineering Electronics and Telecommunication Engineering at Savitribai Phule Pune University
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