Selected Work

Ultra-low latency real-time voice assistant handling continuous conversations with sub-500ms response times. Features live waveform visualization, interruptibility, and emotion detection using OpenAI Realtime API and WebSockets.

A fully functional visual orchestrator for multi-agent LLM workflows. Features interactive "Agent Nodes" with customizable system prompts (e.g., "Sarcastic Poet"), real-time model switching (GPT-4 vs GPT-3.5), and live execution visualization with feedback loops.

On-demand security dispatch platform (Uber-for-Security). Clients can request protective agents for specific missions. Features real-time geospatial tracking, agent matching, and WebSocket-based mission status updates.

Digital media distribution platform for books and audio. Integrating a RAG layer to enable "Semantic Query" across the library, allowing users to converse with book contents for deep theological insights.

Lead Engineer for an AI-powered commerce intelligence engine. Architected the entire ML pipeline to detect cart abandonment and predict user LTV in real-time. Reduced abandonment by 22% for pilot clients through automated, hyper-personalized interventions.

Built a fault-tolerant extraction pipeline converting unstructured maintenance logs (PDF/Scans) into structured valuation data. decreased manual data entry time by 94% using a hybrid approach of regex heuristics and LLM validation.

Real-time financial analytics dashboard aggregating news, sentiment, and price data. Features a custom anomaly detection engine and "Chat with Data" interface for traders, handling 50+ simultaneous data streams.

Production-grade NLP pipeline classifying cryptocurrency news for "Hype" vs. "Utility" signals. Deployed custom fine-tuned Transformer models on Hugging Face Inference Endpoints for sub-100ms latency.

Scalable document intelligence platform allowing organizations to query internal knowledge bases. Implemented advanced chunking strategies and hybrid search (keyword + vector) for high-precision retrieval.

MSc Dissertation research analysing 10TB+ of retail sales data. Developed pricing elasticity models that identified £2M+ in potential revenue optimization opportunities through dynamic pricing strategies.