Nadia Nahar is a software engineering researcher and educator with 11 years of industry and academic experience, currently a Ph.D. candidate at Carnegie Mellon University and a lecturer at the University of Dhaka. She blends practical MLOps and systems engineering experience from multiple Microsoft internships and engineering roles with deep research in Software Engineering for Generative AI. Nadia has hands-on experience building unified inference services for GPU-deployed deep learning models and translating research into production-focused tooling. Her strong academic record (near-perfect GPAs) complements a track record of mentoring students and bridging gaps between research, teaching, and industry practice. Based in Pittsburgh, she continues to pursue opportunities that expand both her technical breadth and impact on applied AI systems.
CMU Lecture: Machine Learning In Production / AI Engineering / Software Engineering for AI-Enabled Systems (SE4AI)
Contributions:12 pushes in 2 months
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