Rageeb Mahtab is a Senior Machine Learning Engineer based in New York with 8 years of experience building production ML and fraud detection systems. He has delivered low-latency, distributed ML pipelines and feature stores at scale—reducing costs through embedding compression and driving real-time inference with Redis, Cassandra, and Kafka. At Fubo he raised engagement with a coviewership recommender and GenAI push-notification pipeline, and at Amazon he helped build SageMaker feature capabilities and serverless ML frameworks that cut infrastructure spend. Comfortable across Python, Go, Java, and JavaScript, he combines hands-on engineering with infrastructure-as-code and Kubernetes deployments. An early-stage CTO who led an AI-powered e-learning product, he brings product-minded leadership and a knack for turning research techniques into measurable business impact.
8 years of coding experience
7 years of employment as a software developer
Dean's Scholar/Honor's Program, Bachelor of Business Administration (B.B.A.), Computer and Informations Systems, Dean's Scholar/Honor's Program, Bachelor of Business Administration (B.B.A.), Computer and Informations Systems at Baruch College
Advanced High School Diploma, Social Science Research, Advanced High School Diploma, Social Science Research at Brooklyn Technical High School
Certificate of Achievement, Genetic Engineering (iGEM), Certificate of Achievement, Genetic Engineering (iGEM) at The Cooper Union for the Advancement of Science and Art
Application that allows users to browse the latest stock data
Contributions:2 reviews, 28 PRs, 20 pushes in 5 years 3 months
reactpythonstockbrowsestock-data
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