Summary
Sabber Ahamed is an applied scientist with 11 years of experience building production-grade ML and LLM systems across healthcare, manufacturing, and geophysics. He combines a PhD in computational geophysics with hands-on engineering in C++, Python, Rust, and edge deployment to accelerate models—most notably cutting medical image segmentation inference from minutes to seconds via ONNX and advanced optimizations. He has led multi-agent LLM architectures and fine-tuning programs to power clinical and insurance recommendation workflows, and has a track record of inventing near–real-time registration algorithms with potential IP. Comfortable bridging research and production, he has also driven anomaly detection and forecasting projects for Bridgestone and fraud detection pipelines at Asurion. Based in Nashville, he brings a rare mix of scientific rigor, systems-level optimization, and product-focused delivery.
11 years of coding experience
12 years of employment as a software developer
Doctor of Philosophy (PhD) Computational Geophysics, Doctor of Philosophy (PhD) Computational Geophysics at University of Memphis
Other; Leadership Principles, Other; Leadership Principles at Harvard Business School Online
Nanodegree Machine Learning Engineer , Nanodegree Machine Learning Engineer at Udacity
Master of Science - MS Geophysics, Master of Science - MS Geophysics at Jahangirnagar University
Bengali, English, Spanish