I build production AI systems that businesses run on every day: AI agents, RAG pipelines and LLM workflow automation for companies where a wrong answer costs real money.

Client names are under NDA; the systems, numbers and engineering are real. Each repo has the full designed write-up:

• ⚡ Cut policy review on an AI underwriting platform used by 15+ US insurers from days to 3–5 minutes at 99.55% precision — write-up
• 🤖 Built a consumer money app's assistant: seven specialised agents, 43 deterministic tools, live in front of real users, zero hallucinated financial figures by construction — write-up
• 📄 Extracted, embedded and made 12M docs / 120M pages searchable in under 48 hours, at 65% below the GPT-4 baseline cost — write-up
• 📊 Automated payslip review for mortgage approvals with dual-LLM verification: 52% fewer errors, 80% less manual review — write-up

Further case studies (LLM security, testing non-deterministic systems, multi-carrier platform architecture, agentic engineering enablement, PE deal screening) available on request.

• Production, not prototypes — every system ships with schema validation, evals and a regression suite, so it still works six months after launch and you can prove it.
• AI agents and workflow automation, end to end — multi-agent systems in LangGraph and Claude with MCP that take a manual process end to end, observable at every step, with a human in the right place by design.
• Accuracy you can audit — gold-standard eval sets built early, LLM-as-judge testing, regression-tested on every change. 99% figures that are maintained properties, not launch statistics.
• Integration with what you already have — your CRM, your database, your APIs, your cloud. AWS certified (ML Specialty), equally at home on GCP.

• Orchestration: LangChain (v1), LangGraph, Langfuse, LangSmith, Claude Code / agent skills, MCP
• Models: Claude (Bedrock + Anthropic API), GPT, Gemini (Vertex), Llama
• Infra: AWS (Bedrock, Lambda, ECS, SQS, S3, RDS), Docker, Kubernetes, PostgreSQL + pgvector, FastAPI
• ML: PyTorch, scikit-learn, pandas · AWS ML Specialty certified

"His Loom updates were the highlight of my week! He's great at communicating complex AI concepts to non-technical people and keeps you in the loop every step of the way." — Chris Barnes, Co-Founder, Gains App

"Adam is an absolute powerhouse of an LLM Engineer. He has first class communication skills which make working with him an absolute pleasure." — Sammie Ellard-King, Founder, Gains App

"A great balance of personality, professionalism and a deep knowledge of the AI space. He's a strategic thinker who considers the bigger picture." — Tom Story, PlannrAI

Six years of reviews in full: testimonials

Most of my engagements run long-term: the first project automates one workflow; the ones after that tend to automate the rest.

Expert-Vetted on Upwork (top 1%) · 100% Job Success · $400K+ earned · 75+ projects · Upwork profile