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.
11 years of coding experience
2 years of employment as a software developer
HSC, Science, HSC, Science at Holy Cross College
Master's Degree, Software Engineering, 4.00/4.00, Master's Degree, Software Engineering, 4.00/4.00 at University of Dhaka
Doctor of Philosophy - PhD, Computer Software Engineering, Doctor of Philosophy - PhD, Computer Software Engineering at Carnegie Mellon University
CMU Lecture: Machine Learning In Production / AI Engineering / Software Engineering for AI-Enabled Systems (SE4AI)
Contributions:12 pushes in 2 months
production-aiin-productioncmumachine-learningai
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