Resume

Developing cutting edge computer vision models for the retails.

Diven roadmaps for quantitative solutions and reduced operational cost [ both labor and logistics ] by 50%+ for North America and Europe canola operations by proposing & developing an automated UAV-based canola flowering detection model. Automated the cotton UAV-pipeline operation for thousands of fields across entire North America by co-developing deep learning-based scalable solutions that detect maturity of cotton from images. Created navel and creativity embeddings for temporal models that resulted in a patent. Provided visibility model-derived results that helped several operational teams by developing geospatial visualization.

Developed a model that can predict the epidemics of rotavirus in the developing world 1-month prior using satellite under the project named “Control of Endemic Cholera in Bangladesh", funded by the Bill & Melinda Gates Foundation. Developed irrigation App that can recommend irrigation to farmers under summer project with The International Maize and Wheat Improvement Center(CIMMYT) Research Fellow in RI-Water Resources Center.

Collaborated and worked on International Research Projects like: High End Climate Impact and Extremes (HELIX) Production and Service of Agro-meteorological Information for the Adaptation to Climate Change in Bangladesh High-resolution Regional Climate Change Information for Bangladesh to inform Impacts assessments