AI / ML Engineer
LangChain · RAG · XGBoost · FastAPI · LangGraph
I build production-grade AI systems — not demos. From gradient-boosted propensity models to enterprise RAG chatbots, my work is live, measurable, and in production.
What I've shipped
End-to-end ML pipeline predicting residential property sale likelihood within 12 months. Ensemble of XGBoost, LightGBM, CatBoost with Optuna Bayesian hyperparameter optimisation. SHAP explainability served via FastAPI in under 100ms.
Production RAG system querying 42 proprietary documents (452 semantic chunks) for 24/7 automated enterprise Q&A. BAAI/bge-m3 1024-dim local embeddings, history-aware pre-retriever, and automated citation compiler.
Production NLP pipeline extracting 50+ structured property tags from unstructured UK real estate listings. Type-safe Pydantic schemas output binary feature flags with citation strings. Includes TP/FP/FN evaluation dashboard and live API cost tracking.
4-stage agentic pipeline powered by Claude API. Covers ATS keyword scoring, resume tailoring with JD-matched bullets, personalised cover letter generation, and mock interview Q&A graded 1–10 with improvement feedback.
Configurable end-to-end ML pipeline covering classification, regression, and clustering. Automated preprocessing, model selection, SHAP-based explainability, and PDF diagnostic report generation. Tested on student performance, wine quality, and car pricing datasets.
Agentic sales research system using Relevance AI (Company + Prospect + Report tools) for automated pre-call briefings. n8n pipelines for AI content generation and WhatsApp delivery. 24/7 agentic chatbot using LangGraph for stateful workflow management.
What I work with
Where I've worked
Get in touch
I'm open to remote full-time roles, contracts, and paid internships in AI/ML engineering. Available immediately.