Summary
Golam Mortuza is a machine learning software engineer and PhD researcher based in the San Francisco Bay Area with nine years of software experience and 4+ years focused on building and deploying ML and deep learning systems. Currently at Meta working on feed ranking, he has moved from research scientist roles into production ML, shipping large-scale ranking and multi-task models that served hundreds of millions of users. His background spans neural architectures for computer vision and NLP (CNNs, LSTMs, GANs, Transformers), novel single-image super-resolution and nanoscale object detection from his PhD work, and practical engineering skills in Python, C++, Java, TensorFlow and PyTorch. He also brings a hands-on product mindset from early web development and freelance work, plus experience building real-time microscopy plugins and a DNA error-correction algorithm—signals of his ability to translate research into impactful tools. Continuously learning, he combines academic rigor with production-grade engineering to tackle high-scale ML challenges.
9 years of coding experience
9 years of employment as a software developer
Doctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at Boise State University
Bachelor of Science (B.Sc.) Mechanical Engineering, Bachelor of Science (B.Sc.) Mechanical Engineering at Khulna University of Engineering and Technology
Bengali, English