Summary
Hridoy Biswas is a Senior Data Scientist specializing in imaging and computer vision, with six years of experience applying machine and deep learning to multimodal and hyperspectral data in medical and agricultural domains. He has driven end-to-end AWS pipelines and production-ready models at Bayer that translated into measurable business value (including a $20M advanced purity use case) and built large-scale detection and recognition systems at Walmart Global Tech. His background blends academic research at Washington University and SIUE—contributing to widely used tools like the CVIP toolbox—with hands-on software engineering in Python, TensorFlow, OpenCV, and MLOps. Comfortable spanning research and production, he often tackles noisy, multimodal imaging problems (e.g., cotton embryo detection, corn infestation) and brings a knack for turning domain-specific spectral features into robust ML solutions.
6 years of coding experience
4 years of employment as a software developer
Aeronautical Engineering, Aeronautical Engineering at Military Institute of Science and Technology (MIST)
Master's of Science Electrical and Computer Engineering, Master's of Science Electrical and Computer Engineering at Southern Illinois University Edwardsville