About

I'm Jordan Madison, a Georgia Tech computer science graduate focused on artificial intelligence, cybersecurity, and privacy. My recent research has centered on post-training open-weight language models for in-silico materials design. I'm looking for high-ownership, high-iteration roles in research engineering, machine learning engineering, and applied AI.

Before returning to Georgia Tech, I built algorithmic trading systems for cryptocurrency markets. That work introduced me to order-flow analysis, risk management, market making, information asymmetry, delta hedging, perpetual swaps, and the practical challenges of operating systems under uncertainty.

I also analyzed SEC filings and cross-industry information sources to identify M&A signals and develop investment theses. That experience sharpened my interest in finding patterns across noisy information and learning unfamiliar domains quickly.

Those systems-oriented questions eventually led me toward security, privacy, and machine learning. Since returning to Georgia Tech, I have worked across applied ML, LLM post-training, reinforcement learning, HPC infrastructure, cybersecurity, and malware reverse engineering. I graduated in 2026 with a B.S. in Computer Science and earned Dean's List recognition across four terms.

I'm interested in building reliable systems that help people explore difficult problems faster, especially where machine learning, infrastructure, and security meet.

• Education: Georgia Tech, coursework, and graduation timeline.
• Experience: Product, engineering, and leadership (HackGT).
• Research: Reasoning and Learning Group, CPSec, Infrastructure Tooling, and skills.
• Writing: Debugging notes from my research journey and more.