Applied AI/ML Engineer and Full-Stack Engineer with 8+ years building production systems across healthcare, construction, manufacturing, retail, e-commerce, and SaaS. Most of my career has been about finding where AI can actually make a difference for a business — not just what's technically interesting, but what ships, holds up under real conditions, and changes how teams work. That's the standard I hold my work to.

On the delivery side, I've led cross-functional efforts from initial scoping through to production. That means working closely with product, data, operations, and business stakeholders, keeping work moving, and making sure technical decisions stay grounded in what the business actually needs. I'm comfortable owning a project from kickoff to handoff and stepping in wherever the gap is.

Some results I'm proud of: a hybrid RAG chatbot on Azure now running in production, an XGBoost property price model, a document workflow rebuild that cut processing time, and an anomaly detection system that reduced unplanned downtime.

On the technical side, I've worked across most of what modern AI engineering covers: RAG systems, AI agents, NLP, computer vision, anomaly detection, recommendation engines, and predictive modelling including classification and regression. My primary languages are Python, TypeScript, and PHP, and I've built and shipped with FastAPI, Django, Flask, Express.js, Node.js, NestJS, Laravel, CodeIgniter, React, and Next.js. I have experience with major cloud services including Azure, AWS, and GCP.

I care a lot about building things properly. Good AI work is only half technical — the other half is communication, judgment, and knowing when not to over-engineer.