Eslam Hamed
Technical Lead & AI Solutions Architect
Building enterprise AI systems, cloud platforms, and production-ready software
Contract and fractional work
Work with me
I build production AI systems for companies that already have real data and real users: retrieval, agents, and the evaluation and operations that make them safe to ship. Ten years in software, working across Python, TypeScript and C#/.NET, and every claim on this page is backed by a case study you can read.
You have a retrieval or agent system, or a plan for one. I measure retrieval quality, cost, security and evaluation coverage, and hand back written findings with numbers, a ranked fix list, and a working reference for the top item.
One agentic feature from brief to production: evaluations first, then the tool-calling agent, observability, and the deploy pipeline. In Python, TypeScript or .NET, on AWS or Azure. You get the shipped feature and a runbook your team can operate without me.
For teams adding AI to an existing product, .NET codebases included: architecture ownership, code review, help with hiring, and a weekly written status that carries the numbers, not adjectives.
What you get
- Numbers you can reproduce. Every figure in a handover comes with the command or the test that produced it.
- Answers with receipts. Where an AI system produces a number, the number comes from a deterministic tool and carries its source. The model plans and explains; it never computes.
- No lock-in. Your repository, your cloud, your keys. Documentation and a runbook are part of the deliverable, not an extra.
- Fixed scope, fixed price. Agreed in writing before the work starts, with the dates.
Proof
Three pieces of work, written up the same way: the context, the constraint, the decision that mattered, and the result.
- Auto-RAG and MerlinX: enterprise retrieval for 7 to 10 customers, then the agent layer on top.
- An AI analyst whose every number carries a receipt: built to impress a boardroom and pass a security review at the same time.
- Career Rafeeq: a paid AI SaaS shipped solo in 14 days.
How it goes
- A 30-minute call about the problem and the data you have. No slides.
- A written proposal within two working days: scope, price, dates, and what "done" means.
- A short written status every week while the work runs, with the numbers.
- Handover with the runbook, and a fixed window afterwards for questions.
Start the conversation
Send a few lines about the problem and where the data lives. I reply within one working day. If you would rather check fit first, ask my AI agent; it answers from my CV and the case studies.