Kaustubh Sapru is a data scientist with ~2 years of professional experience building production-ready ML and CV systems, currently at ZIGRAM after a Senior Software Engineer role designing video ingestion and real-time event detection pipelines. His background blends biomedical engineering research—developing generative AI models for protein dynamics and contributing to a Nature Communications paper—with practical systems work that delivered a 50 FPS optimized vision pipeline and scalable alerting APIs. He has hands-on experience training multi-GPU deep networks on experimental NMR and movie datasets, applying those models to drug discovery, neural response prediction, and financial signal mining. Comfortable across research and engineering, he engineers end-to-end solutions from model design and parallel training to API and database optimization. Notably, he has translated academic insights into deployed features that support dozens of inputs and tens of event types at low per-camera cost. Based in Delhi, he brings a multidisciplinary perspective that ties mathematical rigor to pragmatic system design.
2 years of coding experience
4 years of employment as a software developer
Bachelor of Technology - BTech Biotechnology, Bachelor of Technology - BTech Biotechnology at Thapar Institute of Engineering & Technology
Master of Science - MS Biomedical Engineering, Master of Science - MS Biomedical Engineering at The City University of New York
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