Models & agents in production
Designing multi-agent architectures and the pipelines around them; retrieval, tool use and orchestration that serve thousands of users per day.
London · Engineering & Applied AI
A hands-on engineering lead who stays close to the code, across models, pipelines and infrastructure.
01 Profile
I lead engineering at CarbonAI, a London startup building AI-powered software at the intersection of climate data and carbon markets. The role is deliberately hands-on: I set technical direction and still write the code that ships; across LLM pipelines, multi-agent systems, retrieval, cloud architecture, data infrastructure and the React frontend people actually use.
My foundations are mathematical: a First in Mathematics from King's College London, then a Distinction MSc in AI from the University of Leeds. I like understanding systems all the way down, from how a transistor switches to how a fleet of agents coordinates. My strengths lie in my ability to learn, understand and then apply concepts in the technical domain whilst having the business acumen to understand product direction, operational efficiency and strategy.
02 What I work on
From the model and agent layer down to the networking and data that keep it private, reliable and observable.
Designing multi-agent architectures and the pipelines around them; retrieval, tool use and orchestration that serve thousands of users per day.
Private networking done properly (endpoints, DNS and VNet integration) plus the auth, routing and scalability that make a platform safe to run.
The data layer behind the product: transactional and analytical stores, vector and semantic search, and telemetry to see what's really happening.
The usable surface of the product: the CarbonAI chat experience, dashboards and a reporting portal for cost transparency and auditability.
03 Selected work
Projects I've built, and the numbers behind them: from production AI to enterprise data infrastructure and research.
A multi-agent system over climate and carbon-market data, with retrieval, tool use and orchestration running in production. I architected, built and deployed it, with a continuous evaluation suite of 500+ research problems keeping quality in check.
Private networking done properly across both major clouds: endpoints, VNet/DNS integration, auth and routing that make a platform safe to run at scale.
Production data infrastructure across the property and construction sectors, ingesting messy, real-world sources into dependable analytical and transactional stores.
Distinction research project on image-based retrieval and Vision-Language Models, lifting accuracy from a 48.9% naive baseline to 84.4%.
04 Background
From mathematics into data, and from data into applied AI and engineering leadership.
King's College London
The mathematical grounding that still shapes how I reason about systems, logic and uncertainty. In-depth training in calculus and linear algebra has proved particularly useful.
CBRE · Balfour Beatty
Earlier roles focussed on data pipelines and infrastructure across the property and construction sectors. This is where I learned to make messy real-world data dependable. I also accrued deep experience in enterprise Cloud Infrastructure (primarily AWS) and gained my passion for building things. Focus shifted towards AI and ML systems during this time.
University of Leeds
A move deeper into AI and Machine Learning, formalising the foundations I'd been building toward. I developed a broad theoretical and practical understanding of topics ranging from Robotics and RL to Deep Learning, Computer Vision and LLMs. Completed a research project with Distinction, focused on Image-based RAG and Vision Language Models (VLMs).
CarbonAI · London · present
I joined CarbonAI as a Senior AI/ML Engineer but quickly showed my worth and leadership abilities. Now I am leading engineering for an AI product in climate and carbon markets, staying close to the code while setting the technical direction and strategy.
05 Beyond the terminal
Threads I keep pulling on outside of work.
I enjoy learning about economics, finance and market mechanics. A recent book I enjoyed: Chokepoints by Edward Fishman.
The meditative process of creating something on canvas is uniquely special. I particularly enjoy Caravaggio's work.
I'm an avid Gym-goer and play racket-sports weekly. Currently Squash and Badminton are the favourites.
A deep curiosity about where ideas, institutions and words actually came from.
06 Get in touch
Whether it's applied AI, climate-tech engineering, or comparing notes on dividend strategy, I'm happy to hear from you.