Asadullah Turja is a research scientist at Meta with eight years of experience building scalable systems and applied machine learning, grounded in a PhD in Computer Science from UNC Chapel Hill. His work bridges academic rigor and industry impact—his doctoral research and internships at Intel and Amazon contributed to publications on distributed graph learning and fast sampling techniques. Prior to graduate school he shipped production software at Veriflow and taught as a university lecturer, giving him both practical engineering chops and mentoring experience. Based in Menlo Park, he combines deep expertise in graph algorithms and large-scale ML with hands-on implementation at cloud scale. An accomplished researcher-engineer, he often translates theoretical contributions into efficient, deployable systems that address real-world data and performance constraints.
8 years of coding experience
7 years of employment as a software developer
HSC, Science, 5.00/5.00, HSC, Science, 5.00/5.00 at Notre Dame College
SSC, Science, SSC, Science at Monipur High School & College
Bachelor's degree, Computer Science and Engineering, 3.93/4.00 (Rank: 5th), Bachelor's degree, Computer Science and Engineering, 3.93/4.00 (Rank: 5th) at Bangladesh University of Engineering and Technology
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at University of North Carolina at Chapel Hill
Contributions:11 commits, 10 pushes, 1 branch in 2 years 10 months
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