Ade Adeagbo
I'm a problem finder, sorter, and solver.
I build data and machine learning systems that actually work under pressure — I've learned that the best solutions come from understanding both the technology and the people who use it.
Some things about me:
- Located in the United States
- MS in Applied Economics
- Machine Learning and Data engineering background
- Startup and large company experience
What drives me:
- Bridging the gap between business objectives and engineering delivery
- Supporting users/customers for success
My path here wasn't linear. I've worked some jobs you won't find listed on my resume, including stints as a sports reporter in high school, baker's assistant, events organizer, public relations assistant, and soccer referee.
I consider myself a student of markets, technology, and history.
Outside of work, I love football, art (personal favorites are modern Nigerian and American landscape paintings), Jazz, chess, and tennis. I've also committed to running two marathons every year.
Some things I've worked on:
- I was an early employee at Paystack (acquired by Stripe)
- Consumer app and agent network API for insurance products (didn't work)
- Predicting Afrobeats Hit Songs with Spotify Data (this was pretty fun)
- Retrieval-Augmented Generation (RAG) search application that queries SECForm 4 (insider trading and ownership filings) in plain English andprovides grounded answers based on the most relevant filings (wip)
- A Machine Learning framework built from scratch using TinyTorch (wip)