Summary
Aowabin Rahman is a data scientist with a Ph.D. in Mechanical Engineering and nine years of experience applying deep learning and physics-based modeling to energy systems, currently working at Pacific Northwest National Laboratory. His work blends sequence-to-sequence RNNs for building energy forecasting and missing-data imputation with 1-D transient heat transfer models and experimental validation for thermal storage design. He has led ML-driven projects across building emissions prediction, thermo-acoustic experiments, and aerospace-relevant composite modeling, demonstrating a rare mix of hands-on lab work, COMSOL simulation, and production-ready ML. Based in Portland, OR, he’s comfortable moving models from research to interactive web tools and collaborative codebases, and has a track record of supervising student teams and contributing in multi-author software projects.
9 years of coding experience
8 years of employment as a software developer
The University of Utah
Bachelor of Science (B.S.), Mechanical Engineering, Bachelor of Science (B.S.), Mechanical Engineering at Bangladesh University of Engineering and Technology
The Aga Khan School
English, Bengali, French