I build products that hold up when real people use them.
For eight years I’ve built web, mobile, and AI systems. They started as zero-to-one prototypes and grew into platforms now used by universities, banks, and law firms.
Today I’m a founding engineer at Finiti Legal, building the AI compliance layer for capital markets. I care about work that survives real users, and I write, now and then, about what that takes.
Building the AI compliance layer for capital markets — multi-agent systems over millions of SEC filings that validate filings, benchmark disclosures, and run filing prep with humans in the loop.
First engineering hire at a VC-backed startup. Led the ground-up rebuild that transformed grading for engineering CAD work, reaching Imperial College London, UCL, and 40+ institutions worldwide.
Led frontend for Crust Microfinance Bank. Shipped the mobile apps and admin tools behind a financial product that reached 73,000 customers and moved over $1M in its first year.
Built an online learning platform from zero. Accepted into top incubators, raised funding, built the team, and grew active users by more than 300%.
Built predictive models for carbon tracking and AI-driven analytics, projecting a 25% reduction in building energy waste.
Took several early-stage ideas from concept to launch across diverse stacks and industries, with four products shipped.
Multi-agent system that turns plain-English instructions into self-healing Playwright tests, executed at scale on cloud browsers.
AI compliance layer between regulated companies and their regulators — validates filings, benchmarks disclosures against peers, and runs end-to-end filing prep with humans in the loop.
Revolutionised grading for engineering CAD work — saving professors thousands of hours at Imperial College London, UCL, and 40+ institutions worldwide.
Mental-health platform pairing licensed therapists with anonymous audio rooms — confidential by default, personalised by design.
A practical comparison of five models choosing the next tool: accuracy, speed, cost, reliability, and when confidence helps.
A practical guide to running large language models on your machine using Docker Model Runner. Learn how to set up, configure, and build applications with local LLMs - no cloud APIs required.
My first time judging a legal tech hackathon taught me unexpected lessons about innovation at the intersection of traditional industries and emerging technology. Here's what I learned evaluating 91 projects from 320 hackers across the globe.
An analysis of Nigeria's fintech-dominated startup ecosystem and why diversification into agriculture, manufacturing, and deep tech is critical for sustainable innovation and economic growth.
