Gurinder Gosal is a Vice President of Data Science with a postdoctoral degree in Computer Science and eight years of industry-focused experience building production-ready ML, NLP, and semantic technology solutions across finance, healthcare, and conversational AI. He currently oversees model implementation governance and performance monitoring for Global Risk Analytics at Bank of America, guiding teams through end-to-end model lifecycles to meet enterprise risk policy. Previously he led computational linguistics and intent/entity recognition efforts at SKAEL and contributed open-source ML/NLP and ontology work at UBC that supported public-health data sharing and BioConda deployments. His background uniquely blends ontology-driven semantic engineering (e.g., ProKinO) with applied conversational and monitoring systems, making him adept at translating research-grade models into auditable, regulated production environments.
8 years of coding experience
8 years of employment as a software developer
Doctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at The University of Georgia/ Punjabi University
University of Georgia
Post-doctorate Computer Science, Post-doctorate Computer Science at The University of British Columbia
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.