Summary
Mijanur Palash is a solution architect and GenAI specialist with eight years of experience building large-scale deep learning and HPC systems, currently advancing enterprise GenAI at AWS after a postdoc at Oak Ridge National Laboratory. He holds a PhD in Computer Science from Purdue and has trained multimodal LLMs and GenAI models at exascale—operating clusters up to 32,000 GPUs—to accelerate climate modeling, materials science, and emotion-recognition research. His background spans production-focused engineering at Intel (GPU-optimized training and interactive NeRF tooling) and research-driven innovations in multimodal perception, autism detection, and RL-based collusion detection. Known for bridging cutting-edge ML research with scalable infrastructure, he combines systems-level optimization, model architecture design, and hands-on implementation across Python, C++, and HPC stacks. Based in Atlanta, he brings a rare mix of academic rigor and operational experience standing up GenAI at true scale.
8 years of coding experience
6 years of employment as a software developer
Master’s Degree, Computer Systems Networking and Telecommunications, Master’s Degree, Computer Systems Networking and Telecommunications at Southern Illinois University, Carbondale
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Purdue University
Higher Secondary Certificate Exam, Science, Higher Secondary Certificate Exam, Science at Notre Dame College, Dhaka
Bachelor of Science (BSc), Electrical and Electronic Engineering, Bachelor of Science (BSc), Electrical and Electronic Engineering at Bangladesh University of Engineering and Technology
English, Bangla, Hindi