Nasheen Nur is an AI/LLM consultant and researcher with a decade of experience bridging academic research and applied machine learning across startups and national labs. She holds a PhD focused on explainable AI and network analytics and has published work on student success prediction and anomaly detection in smart grids. Comfortable in both research and production contexts, she emphasizes clean, reusable OOP code, design patterns, and rigorous code review to drive continuous improvement. Her background ranges from front-end and dashboard engineering in enterprise settings to developing visual analytics and explainability tools in collaborative research projects. Currently based in Melbourne, Florida, she brings a taste for bleeding-edge problems and a track record of translating complex ML research into actionable tools for decision-making. An often-overlooked strength is her repeated role as mentor and instructor, turning research insights into teachable, production-ready solutions.
10 years of coding experience
11 years of employment as a software developer
Doctor of Philosophy - PhD Dept. of Software and Information SystemResearch:Machine learning explainable AInetwork analytics, Doctor of Philosophy - PhD Dept. of Software and Information SystemResearch:Machine learning explainable AInetwork analytics at University of North Carolina at Charlotte
Bachelor of Science (B.Sc.) Computer Science & Engineering, Bachelor of Science (B.Sc.) Computer Science & Engineering at Bangladesh University of Engineering and Technology
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Nasheen Nur - AI LLM Consultant at Stealth AI Startup