Summary
Samiul Saeef is a data scientist with nine years of experience building production ML systems and analytics for enterprise cloud services, currently working at T‑Mobile in Texas. He led Aegis at Microsoft—an end‑to‑end ML service that attributed control‑plane change impacts and improved anomaly prevention recall by 40% while maintaining 80% precision on alerts. Samiul has practical experience deploying LLM-based pipelines to summarize incident tickets, cutting resolution time by about 30%, and has a strong background in time‑series, recommendation systems, and graph/query interfaces from academic collaborations. His work spans Python, KQL, PyTorch, Java, and graph databases (Neo4j), reflecting both research rigor as a Ph.D. candidate and production engineering discipline. He also blends technical depth with communication skills, having driven customer-facing solutions and KPIs at Microsoft and Walmart Labs. An unexpected facet: alongside his technical career he studied film appreciation and filmmaking, which influences his clear storytelling in data narratives.
9 years of coding experience
6 years of employment as a software developer
Higher Secondary School Certificate (High school diploma), Science, 5.00/5.00, Higher Secondary School Certificate (High school diploma), Science, 5.00/5.00 at Notre Dame College
Bachelor of Science (B.Sc.), Computer Science and Engineering, Bachelor of Science (B.Sc.), Computer Science and Engineering at Bangladesh University of Engineering and Technology
Ph.D. Candidate, Computer Science, 3.89/4.00, Ph.D. Candidate, Computer Science, 3.89/4.00 at The University of Texas at Arlington
Secondary School Certificate, Science, 5.00/5.00, Secondary School Certificate, Science, 5.00/5.00 at Engineering University School & College
Film Appreciation and Film Making, Film Appreciation and Film Making at Bangladesh Film Institute
Bengali, English