Eslam Hamed
Technical Lead & AI Solutions Architect
Building enterprise AI systems, cloud platforms, and production-ready software
Cairo, Egypt · Remote
Eslam Hamed
Technical Lead & AI Solutions Architect
Production agentic AI, RAG systems, and cloud-native platforms on .NET and Azure.
10+ years in software engineering, 6+ architecting AI platforms on Azure. I ship production AI to enterprise customers including Gulf-region government ministries — and build full-stack products solo.
Available now for contract work — happy to talk right away. Open to full-time roles too, with a start inside a month of agreement.
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About Me
I’m a Cairo-based technical lead and AI solutions architect with 10+ years in software engineering — primary backend on C# / .NET since 2016, and 6+ years architecting cloud-native AI platforms on Microsoft Azure.
I’m a hands-on architect. I’ve shipped production AI to enterprise customers including Gulf-region government ministries, delivered government-scale systems for the Egyptian Ministry of Justice and the Egyptian Cabinet IDSC, formally managed a 5-person cross-functional team through a startup growth phase, and I still ship full-stack products solo.
Current focus: production agentic AI, RAG systems at scale, LLMOps, and integrating modern AI tooling deeply into engineering workflows.
- Residence Cairo, EGYPT
- Availability Contract: now · Full-time: within a month
- E-mail eslam1311@outlook.com
- Phone & full CV Download the CV
What I Deliver
Case studies
Three things I built, and what they prove
Each one is written up the same way: the context, the constraint, the decision that mattered, and the result with numbers I can defend in an interview.
An AI analyst whose every number carries a receipt
The model never calculates. It decides what to ask, a deterministic engine computes, and a verifier rejects any claim without a receipt. Solo build for a Saudi digital-services company, 2026.
Read the case study →Auto-RAG and MerlinX at DXWand
Enterprise retrieval in production for 7 to 10 customers, the agentic SaaS built on top of it, and a 73% cut in cost per conversation across 840 agents, proven on a frozen suite before rollout.
Read the case study →Career Rafeeq, shipped solo in 14 days
A paid AI SaaS with a statistical evaluation harness gating every prompt change and 53 integration test files gating every deploy. Backend, frontend, extension, payments, infrastructure: one person.
Read the case study →Experience Snapshot
How I operate in engineering teams
Technical lead for enterprise AI platforms
Own architecture and delivery across backend, AI, and integration layers. Formally led a 5-person cross-functional team, and run release engineering and governance across a 224-repository estate.
Product and solutions bridge
Translate stakeholder goals into product requirements, technical roadmaps, demos, POCs, and deployable systems.
R&D-to-production execution
Take LLM workflows, RAG pipelines, and cloud systems from experimentation into production — including a 73% cost-per-conversation reduction proven at 95% confidence and rolled out across 840 agents.
Tech Stack
Core technologies I work with
Backend, Frontend & Data
Architecture
Cloud, DevOps & Security
AI, LLM & Retrieval
AI Operations & Safety
Engineering Leadership
FAQ
Fast answers for recruiters and hiring managers
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Who is Eslam Hamed?
Eslam Hamed is a Cairo-based technical lead and AI solutions architect with 10+ years in software engineering, including 6+ years architecting cloud-native AI platforms on Microsoft Azure. He ships production agentic AI and RAG systems to enterprise and government customers, and builds full-stack products solo.
What kind of software does Eslam build?
Backend systems and .NET APIs, microservices, agentic AI platforms, production RAG and retrieval pipelines, and evaluation harnesses that gate quality — with a focus on production reliability, not prototypes.
What AI and cloud technologies does Eslam use?
Azure (6+ years) and AWS; C#/.NET and Python/FastAPI; LangChain, LangGraph and LlamaIndex for orchestration; MCP for tool gateways; Weaviate and Azure AI Search for retrieval; plus LLMOps, guardrails, and CI/CD for shipping AI to production.
Why use the AI Agent?
The AI Agent gives quick answers about experience, projects, cloud services, architecture decisions, and hiring fit so visitors can evaluate the profile without reading a long text wall.
Companies
Resume
Experience
06/2026 - Present
IndependentFreelance AI Engineer & Solutions Architect
Sole engineer on an executive-facing AI analytics product for a Saudi digital-services company.
- Architected and solo-built an AI data analyst where every figure carries a click-to-verify receipt; the model never calculates.
- Owned architecture, build, test, deploy and the roadmap: 387 reviewed, CI-gated pull requests, 260+ test files, 94 recorded decisions.
- Open-sourced the engineering methodology the project runs on as agentic-methodology.
08/2022 - Present
DXWandTechnical Lead & AI Solutions Architect
Enterprise AI platforms. Formal tech lead of a five-person team 2021 to 2023, hands-on architect throughout.
- Architected and solo-built the Auto-RAG MVP, in production for 7 to 10 enterprise customers including Gulf-region government ministries.
- Cut cost per conversation by 73% across 840 agents, proven on a frozen suite at 95% confidence before rollout.
- Brought 35 Azure DevOps projects and about 224 repositories under one governance standard; ran rollback-free gated releases.
03/2019 - 08/2022
DXWandSenior Software Engineer · AI
Government-scale AI systems, from pre-sale to handoff.
- Real-time speech-to-text with speaker identification for the Egyptian Ministry of Justice, deployed to several dozen courtrooms.
- Semantic legislation search for the Egyptian Cabinet IDSC as prime vendor; owned 75%+ of the technical work.
- Led delivery of Cogent, an Arabic-dialect chatbot SaaS at 100K+ monthly sessions and 91% intent accuracy (since retired).
07/2017 - 03/2019
VezeetaSoftware Engineer
MENA health-tech platform handling thousands of daily transactions across booking, payments and referrals.
- Migrated core production services from legacy .NET to .NET Core and introduced GraphQL across the services I owned.
- Integrations with Fawry, Payfort and Salesforce; asynchronous messaging on RabbitMQ and AWS SQS.
10/2016 - 07/2017
EgIDSoftware Developer
Subsidiary of the Egyptian Exchange.
- Built the online trading dashboard for the Egyptian Exchange: live market data, order execution, portfolio insights.
Featured Project
04/2026 - Present
Career RafeeqFounder & Solo Engineer
Solo build, 14 calendar days, live product with paid tiers — careerrafeeq.com
- Shipped an end-to-end production AI SaaS solo in 14 calendar days — backend, frontend, Chrome extension, payments, and deploy infrastructure. ~75K lines of hand-authored production code, with 53 integration test files gating every deploy.
- Designed an 8-phase deterministic LLM orchestration pipeline with parallel fan-out and a confidence-gated refinement loop, plus a multi-run statistical eval harness gating every prompt change.
Education
2016
Helwan UniversityComputer Science Bachelor
Very Good with Honors. Graduation project: a Shiny application supporting data cleansing and visualization workflows for the data science process.
What I work with
Click any item to ask the AI how I’ve used it in real projects.
AI systems
Backend & platforms
Data & search
Cloud & delivery
Soft Skills
- Product Discovery
- Technical Roadmaps
- Cross-Functional Leadership
- Technical Documentation
- Architecture Reviews
- Code Reviews
- Delivery Ownership
- Enterprise Workshops
- Mentoring
Certificates
Optimal Product Management
Agile Certificate Software Development
Case studies
Three things I built, written up the same way each time: the context, the constraint, the decision that mattered, and the result with numbers I can defend.
Auto-RAG and MerlinX: enterprise retrieval for 7 to 10 customers, then the agent layer on top
Career Rafeeq: a paid AI SaaS shipped solo in 14 days
An AI analyst whose every number carries a receipt
Writing
Today I Used AI to Make My Portfolio Easier to Find on Google
Beyond the Obvious: Understanding True Needs
Is DeepCoder the End of Human Programmers?
Debug Yourself: How Lazy Are You?
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