Selected systems, each engineered for real-world complexity. Open any artefact to explore its architecture.
A scalable enterprise GenAI architecture designed to transform fragmented operational knowledge into accessible, contextual intelligence.
An intelligent cross-selling and lead recommendation engine for legal services, surfacing opportunities from complex legal and client data.
A web application using LangChain and LangGraph to create agents for scraping, retrieval, analysis, and personalized opportunity recommendations.
A legal AI system using retrieval, precedent search, contextual extraction, and automated first-draft generation.
A system using Django and fine-tuned BERT to convert natural language queries into SQL for real-time data retrieval.
A machine learning research project using EEG time-series analysis and SVM classification to identify biomarkers for Alzheimer's detection.