Professional Overview
I am an AI engineer and full-stack developer who specializes in turning messy, real-world problems into production-ready GenAI systems. After more than a decade building high-traffic gaming and sportsbook platforms as a lead developer and technical SEO engineer in France and Malta, I shifted my focus to machine learning and large language models, designing Python-based AI architectures that plug cleanly into existing products and infrastructure.I have built end-to-end systems ranging from anomaly-detection engines for smart buildings and an AI that waters plants, to Molecular, a self-learning crawler that uses statistics and NLP to audit large websites in minutes, and Reeceepts Outreach, a local LLM-powered outreach agent that negotiates inside strict policy and price bands at zero token cost.I also created open-source tools like QScript, a natural-language testing DSL on top of Playwright and Selenium, and What-If, a custom LLM that evaluates code risk without relying on external APIs, along with database design concepts such as Singular Data Theory and Vocabulary Driven Database for scalable, human-readable schemas.Today, I work as an AI developer and solution architect, designing and deploying GenAI agents, ML models and microservices that are container-ready, observable and tightly aligned with business outcomes: fewer outages, faster decisions, and measurable lifts in engagement and revenue.
Areas of Expertise
AI & Machine Learning Engineers
Design, train, and ship production ML models — from data pipelines to model inference at scale. Covers supervised learning, neural networks, LLM integration, and model optimisation.
