I transform complex document processing challenges into scalable AI solutions. My systems have:

• Processed 12M+ documents in 48 hours
• Slashed mortgage approval times by 52%
• Cut LLM costs by 75% while increasing accuracy

• Enterprise-scale payslip data extraction with dual-LLM verification - link
• UK Local Plan analysis pipeline processing 700+ plans weekly - link
• Massive-scale document embedding system powering LandGPT - link
• View detailed case studies in pinned repositories

Most of my recent work lives in private repositories (NDAs, enterprise clients). What you see here are carefully documented case studies that showcase my approach to building robust, scalable LLM systems.

• AWS Machine Learning Specialty: Advanced certification in production ML systems and large-scale deployments (achieved December 2024)

• LLM Orchestration: LangChain, LangSmith, LangGraph, CrewAI
• Models: OpenAI, Google Gemini (Studio and Vertex), Anthropic Claude, Groq
• Infrastructure: AWS, S3, EC2, ECR, AWS Lambda, AWS Fargate, PostgreSQL, Docker, FastAPI
• Monitoring: Custom observability pipelines, LangSmith dashboards
• Machine Learning: Pandas, NumPy, Scikit-Learn, XGBoost, PyTorch

Need an LLM system that actually delivers ROI? Check my Upwork profile for availability.