I build AI- and automation-first systems — from Azure/D365 flows that save teams thousands of hours, to AI agent platforms like SpeakSeeker that onboard users for you. I like when math, infra, and product all meet. 📡
class AidanHall {
constructor() {
this.name = "Aidan";
this.education = "Duke University";
this.majors = ["Computer Science", "Mathematics"];
this.certificate = "Digital Intelligence";
this.graduationDate = "May 2027";
this.currentBuild = "SpeakSeeker.com";
}
getNow() {
return [
"Co-Founder @ SpeakSeeker",
"ML Research Assistant (ALIGN Grid)",
"Outstanding TA in CS",
"Automation + AI Agents"
];
}
}
I'm a Duke CS + Math + Digital Intelligence student who likes taking manual, brittle business processes and turning them into resilient automations. At Dexter, I turned a 1-minute planner upload into a 5-second email-forward flow used daily by 11 planners (~2,860 hrs and $160K–$190K saved annually).
On the AI side, I co-founded SpeakSeeker (speakseeker.com), a SaaS that uses AI-powered search, scraping, and intelligent matching to connect speakers with events — plus agents to auto-create accounts for people.
I also TA Discrete Math, Probability, and Multivariable Calculus at Duke and was recognized with the CS Department Outstanding TA Award. Teaching keeps me sharp on proofs, graph theory, and combinatorics while I build.
Degrees: B.S. Computer Science, B.S. Mathematics, Digital Intelligence Certificate
GPA: 3.91 / 4.0 — 2x Dean’s List with Distinction
Coursework: Mathematical Cryptography, Digital Systems, Applied ML, Algorithm Design, Computer Architecture, Mathematical Finance, Real Analysis, Discrete Math, Advanced Probability, Computer Game Design, Information & the Internet, Language-Based Security.
SAT: 1560/1600 | W GPA 4.93 | AP Scholar w/ Distinction | PTA Scholar
Machine Learning Research Assistant in Duke’s Dalia Patiño-Echeverri Lab (Nicholas School), part of a $2.9M collaboration with Google and the Georgetown Climate Center to study how AI/data-center load growth stresses the U.S. grid and how flexible demand can help.
I build Python/Julia data pipelines, forecasting models, and simulation tools over large weather + energy datasets so stakeholders can test decarb strategies.
Full-stack platform to connect speakers with events using AI-powered search, scraping, and intelligent matching. Includes agentic onboarding that creates user accounts and pre-fills profiles.
React app that scrapes articles via Goose3, classifies political bias & sentiment with OpenAI Swarm agents, and gamifies news literacy with leaderboards. Demoed at HackDuke 2025.
Java-based DFA-driven SLR(1) parser + AST visual simulator for a theoretical language; 4-stage build from tokenization → parsing → AST → execution.
Logic Apps + SQL Server + D365 data-transfer automations that achieved ~80% efficiency improvements and added alerting for ERP teams.
Active in fraternity life at Duke; help organize athletic/club engagement.
Support inclusive outdoor/physical activities for people with disabilities.
Stay competitive alongside lifting; club sports that match daily training.
Open to AI/ML, systems, and product-y SWE internships.
Duke University
Open to opportunities