Summary
Abdullah Nazib is a machine learning and algorithm engineer with a decade of experience spanning academia and industry, currently a postdoctoral researcher at Memorial Sloan Kettering Cancer Center. He holds a PhD from QUT and has built production-grade algorithms for recommendations, 2D/3D image analysis, and video object tracking using Python deep learning frameworks and C++ toolchains. His background includes PhD-funded research, industry data science at Travello, and R&D roles in robotics, reflecting a rare blend of theoretical rigor and hands-on engineering. Based in New York, he seeks roles that leverage his strengths in algorithm design, scalable model development, and translating cutting-edge research into real-world systems. An understated advantage is his sustained work across biomedical data science and robotics, enabling cross-domain solutions that bridge perception and decision-making.
10 years of coding experience
4 years of employment as a software developer
Doctor of Philosophy - PhD, School of Electrical Engineering & Computer Science, Doctor of Philosophy - PhD, School of Electrical Engineering & Computer Science at QUT (Queensland University of Technology)
B.Sc (Honours), Information & Communication Engineering, B.Sc (Honours), Information & Communication Engineering at Islamic University
M.Sc, Electronics & Computer Engineering, M.Sc, Electronics & Computer Engineering at Chonnam National University
English