Building AI products & the research behind them.
CS, Math & HCI @ Northwestern. Regeneron Science Talent Search Scholar '25. I build AI products at the application layer — LLM agents, agent harnesses, and the workflows that actually make them useful.
Currently researching LLM agent–based search and recommendation at Northwestern's Delta Lab, and agentic frameworks at REAL Lab. In my free time, I photograph sunsets and the milky way.
Always exploring and building, and always up to trade notes or collaborate on anything in applied AI. Reach me at forrestchai2029@u.northwestern.edu.
Selected Work
03 projectsCrowdListen
- Applied AI Engineer at CrowdListen.
- CrowdListen gathers social and customer signals across Reddit, Discord, X, TikTok, Slack, and support channels.
- It structures themes, evidence, trends, severity, and recommended actions for AI agents.
ExperienceBot
- Researcher at Northwestern's DTR Lab.
- LLM agent–based search and recommendation system for real-world experiences.
- Surfaces latent experience dimensions that generic LLM recommendations miss.
Research focus: LLM agent search & recommendation for experiences.
GMPNN-CS++
The proposed GMPNN-CS++ model introduces a dual-contrasting sampling approach and self-attention mechanism for DDI prediction, achieving 97% overall accuracy.
Regeneron Science Talent Search Scholar '25
