Agentic AI for documents
Designed and built an agentic system that ingests complex documents in any format — Excel, PDF, Word, plain text — and auto-generates accurate responses, using a custom RAG layer over a vector database.
Full-stack engineer with 9+ years across .NET, Azure, and Angular — now leading AI delivery: building agents for Deloitte's platform team and Microsoft Office Add-in used by 200,000+ professionals.
Designed and built an agentic system that ingests complex documents in any format — Excel, PDF, Word, plain text — and auto-generates accurate responses, using a custom RAG layer over a vector database.
An AI agent that takes a project description and generates a high-level architecture diagram, then recommends which cloud provider and services best fit the use case — built with Python and LLM APIs.
Engineered and deployed a Microsoft Office365 Add-in rolled out across the entire firm to improve the efficiency of 200,000+ professionals.
Core full-stack engineer on the United Nations' eLUNa document translation tool — delivering features under strict reliability, security, and internationalisation standards.
Product Owner and Technical Lead for the company's first AI product — owned vision, architecture, and stack, orchestrating AI workflows with Semantic Kernel through to beta launch.
Primary client contact building cross-platform VoIP applications and an ecommerce marketplace for VoIP providers on Azure — driving 10× user-base growth over two years.
Building AI proof-of-concepts and delivery projects. Leading multiple projects to enhance process efficiency and ensuring best standards and the delivery of high-quality code. Gen AI Hackathon finalist; Applause and Spot Award recipient.
From senior engineer to product owner: UN eLUNa, VoIP platforms, a recruitment SaaS architecture, and the company's first AI product. Built CI/CD pipelines and led company-wide technical training.
e-Discovery automation for legal data processing — including a Bates-Numbering refactor that improved processing performance by 85%.
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