Salma Tamanna is a software engineer with a decade of experience building scalable, high-performance applications across C#, .NET, Node.js, and SQL, currently contributing at Xylem after impactful R&D roles. She led full-stack development of the Painting and Writing modules for Samsung Notes, shipping one of the most stable components while also driving memory-leak fixes and performance optimizations that improved responsiveness under background sync. At the DISA Lab she bridged research and product, publishing at ICSE and CASCON for an AI engine that reduced LLM hallucinations by 30.3% and delivering an AI-assisted Chrome extension that boosted issue-classification accuracy and developer productivity. An IBM "Project of the Year" awardee, she combines production-grade engineering with academic rigor and a knack for turning research prototypes into developer-facing tools. Based in Calgary, she enjoys tackling hard software problems and collaborating on cutting-edge AI-enabled engineering solutions.
10 years of coding experience
5 years of employment as a software developer
School, School at Haider Ali School and College
Master of Science (M.Sc.), Software Engineering (SE), Master of Science (M.Sc.), Software Engineering (SE) at University of Calgary
Bachelor of Science (B.Sc.), Computer Science and Engineering (CSE), Bachelor of Science (B.Sc.), Computer Science and Engineering (CSE) at Bangladesh University of Engineering and Technology
Higher Secondary Certificate (H.S.C.), Science, Higher Secondary Certificate (H.S.C.), Science at Ideal School and College
Contributions:32 pushes, 1 branch in 4 years 4 months
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