About Me
I'm a hands-on technical leader who thrives at the intersection of architecture, machine learning, and execution. From designing distributed systems to deploying ML pipelines in production, I truly enjoy every aspect of full-stack development. I believe the best engineering leaders still write code and review PRs whilst empowering their teams to do their best work.
With a PhD in Machine Learning, I understand the theoretical background behind modern AI systems and how those ideas translate into production software. My recent work implementing agentic AI systems has been the most exciting work of my career.
Hands-On Leader
I still write and review code every day.
Builder's Mindset
With the advent of AI, clean architecture is more important than ever.
Constant Learner
A PhD in machine learning taught me that we should never stop learning.
Team Multiplier
My best work is making the people around me more effective.
Recent Roles
PES Technologies
2022 — Present
Head of Software
Leading the software engineering team across ML, cloud, web, and mobile systems. Driving company-wide technical strategy, production ML integration, and delivery from proof-of-concept through commercial launch across multiple platforms.
Cloudshelf Ltd.
2021 — 2022
Head of ML
Full-stack development and ML integration for offline-first in-store retail experiences. Partnered with the executive team on product roadmap, built the engineering team from scratch, and created ML-backed tools that helped store owners guide shoppers to the right products.
IronForge Development, LLC
2020 — 2021
Engineering Manager
Managed an international engineering team across multiple timezones, delivering full-stack client products ahead of schedule. Moved release workflows from manual deployment to automated CI/CD, reduced cloud spend by 55%, and mentored junior developers.
Skills & Expertise
Frontend
Backend
ML & AI
Infrastructure
Data & Storage
Architecture
Recent Projects
oat: opinionated agentic tool
A Rust-based agentic programming tool built around three key concepts: collaborative and adversarial planning, intelligent context handling, and RAG-based semantic memory.
Untitled AI Design App
An AI-powered, agentic design system that turns prompts, screenshots, and inspiration into interactive product prototypes.
ST-CGP
A strongly typed extension of Cartesian Genetic Programming for evolving interpretable, type-safe programs across vision, agriculture, and sensor-modelling problems.
Get In Touch
Whether you have a project in mind, want to talk ML or AI, or just want to connect, I'd love to hear from you.