Habib Karbasian is a Data and Applied Scientist II at Microsoft with a PhD in Computer Science and over a decade of experience applying machine learning and computational social science to real-world problems. He has driven Azure capacity, supply chain and provisioning work at scale and previously built demand-forecasting solutions on Azure at Neal Analytics. Habib’s research background spans NLP, topic modeling, multimodal user classification, and privacy/bias analysis—skills he’s translated into production forecasting and provisioning systems. He has a track record of cost-conscious engineering (e.g., designing a tweet-collection pipeline that saved $10k+) and mentoring students in research-to-production workflows. Based in Springfield, IL, he blends academic rigor with cloud-native deployment experience, often focusing on fairness and societal impacts of AI that are easy to overlook in typical engineering roles.
10 years of coding experience
13 years of employment as a software developer
Bachelor's Degree, Computer Engineering, Software Engineering, Bachelor's Degree, Computer Engineering, Software Engineering at University of Tehran
High School, Mathematics and Physics, High School, Mathematics and Physics at Jahan Ara
Doctor of Philosophy - PhD, Computer Science & Information Technology, Doctor of Philosophy - PhD, Computer Science & Information Technology at George Mason University
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