About
I build production AI systems, study what makes them dependable, and write about the engineering decisions hidden behind the demo.

I'm a senior AI engineer, researcher and software builder interested in one broad question:
What does it take to turn increasingly capable AI models into systems people can actually depend on?
My path into AI has been unusually interdisciplinary. I originally studied human anatomy and neuroscience before moving into software engineering, where I spent several years building backend, frontend, cloud and production systems. That engineering foundation eventually led me deeper into machine learning, and I later completed an MSc in Artificial Intelligence. Today those fields overlap in my work. I'm currently based in London, building production AI systems at HiveScience AI.
I'm interested not only in what models can do, but also in the infrastructure around them — how we evaluate their behaviour, how they interact with existing software systems, and how humans interpret and make decisions with their outputs.
What I work on
Production AI systems
Building and studying the engineering layers required to move AI from prototypes into reliable software: agentic workflows, evaluation, context engineering, retrieval, memory, observability, structured generation, reliability, and human-in-the-loop systems.
Applied AI research
Practical machine-learning problems where model efficiency, intelligent systems and real-world deployment intersect. Neuroscience and behavioural science show up here as supporting lenses — useful when they genuinely inform how a system should be built, evaluated or trusted, not as ends in themselves.
How I think
I approach AI from three perspectives simultaneously:
- Engineer — can this system be built, tested, operated and trusted in production?
- Researcher — what evidence supports the assumptions we're making?
- Product thinker — how will a human actually understand and use what the system produces?
The interesting AI problems increasingly need all three.
Selected experience
Senior AI Engineer · HiveScience AI
Architected a patent-pending ML environment and production agent harness spanning context, memory, tools, structured outputs and recovery. Scaled processing from roughly 20 runs a month to more than 60 a week, helping revenue grow by over 100%.
Oct 2025 – Present
Co-founder & AI Engineer · TrendMind
Built a multi-agent content platform with human approval, retrieval, analytics and model fine-tuning workflows. Reduced strategy planning time by 25% while taking features from first implementation through deployment.
Oct 2024 – Present
Senior Full Stack Engineer · CodeRabbit
Optimized prompt templates and context packing to cut LLM cost ~15%. Migrated review configuration to YAML and built Jira and Linear integrations.
Aug 2023 – Nov 2023
Senior Full Stack Engineer · Oaks Lab
Led large features across five startup projects; re-architected the admin portal's front-end and APIs. Improved throughput ~30% and cut error rates ~20%.
Jul 2022 – Feb 2024
Full Stack Engineer · Second Company
React Native performance and native modules for iGarage; refactored auth and notifications; built a multi-tenant dashboard system.
Sep 2021 – Jun 2023
Full Stack Developer (Lab Head) · Deposits
Built Renapay's web app in Vue.js; rebuilt the invoicing system; automated white-label deployments through a custom CI/CD pipeline.
Apr 2021 – Oct 2021
Full Stack Developer · Engage
Built a drag-and-drop email template editor, shipped 2FA and multi-role access, improved SDK utilities and observability.
Mar 2021 – Apr 2022
Education
MSc Artificial Intelligence · De Montfort University
Deep Learning, Machine Learning, Data Mining, Evolutionary Computing, Fuzzy Systems, NLP. Thesis on efficient brain-tumour segmentation using parameter sharing and pruning in RAAGR²-Net.
Feb 2024 – Jun 2025
BSc Human Anatomy / Neuroscience · University of Port Harcourt
Anatomy, biochemistry, neuroscience, research methods, histology. Project on neural pathway mapping and cognitive function analysis.
Jan 2014 – Dec 2019
A full CV is available as a PDF. For anything else, press & contact has bios, headshots and email.