Ashok Rajaraman is a Data Scientist Associate Principal with 11 years of experience who blends deep mathematical theory with hands-on AI engineering across operations and logistics. With a PhD in Mathematics and postdoctoral research at CMU and UIUC, he translated convex optimization and combinatorial genomics techniques into practical inference algorithms before moving to industry. At Accenture he designs and deploys production AI pipelines—recommenders, supervised classifiers, outlier detection and NLP/image components—for invoice fraud, duplicates and procurement solutions, and leads cloud migration of ML architectures. He is comfortable moving research-grade algorithms into production at scale and has a track record of improving model performance on legacy predictive systems. Based in Vancouver with ties to teams in Bangalore and San Diego, he combines multidisciplinary research rigor with enterprise delivery. An uncommon strength is his ability to bridge combinatorial optimization insights from structural genomics into robust solutions for operational decision-making.
11 years of coding experience
8 years of employment as a software developer
Indian Institute of Technology Roorkee
Master of Science (M.Sc.), Pure Mathematics, Master of Science (M.Sc.), Pure Mathematics at Simon Fraser University
Contributions:50 pushes, 1 branch in 7 years 7 months
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.