Summary
Fahim Ishrak is a Security Data Lake and Platform Engineer with eight years of experience blending data science, engineering, and security to build scalable, production-ready analytics platforms. With an MS in Data Science from George Washington University and hands-on roles from government to fintech, he applies rigorous mathematical and statistical foundations to machine learning, time series, and deep learning problems using Python and R. Currently at CMS and concurrently working in AI/ML at ASSYST, he focuses on operationalizing models and securing large-scale data pipelines. His background includes teaching machine learning and data structures, reflecting an ability to translate complex algorithms into practical solutions and mentor teams. Notably, he pairs public-sector experience in expenditure systems with fintech and academic work, giving him a rare perspective on both regulated environments and fast-moving product teams.
7 years of coding experience
1 year of employment as a software developer
Bachelor of Science - BS, Computer Science, Bachelor of Science - BS, Computer Science at BRAC University
Master of Science - MS, Data Science, Master of Science - MS, Data Science at The George Washington University