Researched, developed, and led the transition of proof-of-concept AI/ML projects into full-scale commercial products, collaborating with data engineers and software developers to transform experimental prototypes into production-grade AI/ML systems. Automated workflows and data pipelines for analyzing complex model inputs/outputs, data preprocessing using Python, and handling relational databases to optimize model runtime and save man-hours.

PhD Graduate Researcher at McGill University

January 1, 2015 - January 1, 2020

Led multidisciplinary collaboration across USDA, AAFC and McGill to develop and optimize a mathematical model (RZWQM2-P) to simulate phosphorus loss through hydrological pathways in an agricultural watershed. Designed field experiments, collected hydrological, meteorological and environmental data, calibrated and validated the model, and secured a $200,000 project grant. Communicated complex topics to diverse audiences and contributed to publications and international collaborations.

Assistant Engineer at Water Resources Investigation and Development Department, Govt. of West Bengal

January 1, 2011 - January 1, 2015

Led an interdisciplinary team of 12+ engineers and technicians on World Bank-funded hydrological projects. Monitored surface and groundwater quantity and quality, conducted water census, and supported policy development for licensing and environmental management. Prepared feasibility studies and detailed project reports, securing $3 million World Bank funding.

Assistant System Engineer at Tata Consultancy Services

January 1, 2008 - January 1, 2011

Developed a GIS-based application for water supply, sewer network and land asset management using Java, .NET and ESRI GIS tools, enabling efficient asset management and environmental data analysis.