Summary
Ali Azam is a Machine Learning Engineer with nine years of hands-on experience bridging physics, math, and computer science training at Dartmouth with applied AI and blockchain research. He has led full-stack ML tooling and data pipelines—most recently building a Flask-based annotation system for generative-chat training—and has explored AI safety by experimentally reducing sycophantic agent behaviors via parameter steering. His work spans healthcare personalization, environmental data modeling, and civic tech, including a volunteer role on a Karachi metro transit app and air-quality regression modeling. Based in Hanover, NH, he pairs academic rigor with product-minded engineering and a curiosity for distributed systems and blockchain research that informs his approach to resilient, privacy-aware ML solutions.
10 years of coding experience
Bachelor's degree, Major: Math, CS; Minor: Mathematical Physics, Bachelor's degree, Major: Math, CS; Minor: Mathematical Physics at Dartmouth College
High School Diploma, A Levels, High School Diploma, A Levels at Karachi Grammar School
O Levels, O Levels at Happy Home School