Hi, I'm Mehdi Khoder
I excel at crafting intelligent AI solutions and I am proficient in various programming languages and cloud technologies.
Trusted by leading companies over 20+ years
Services
AI Solutions Architecture
Design and delivery of AI-enabled systems—LLM integration, vector search, and enterprise-grade scalability—aligned to business outcomes and risk controls.
DevOps & Cloud Modernisation
Cloud migration and platform modernisation on Azure, with containerisation and CI/CD automation to improve reliability, security, and delivery velocity.
Technical Leadership
Hands-on leadership for distributed teams: operating model, hiring and mentoring, delivery governance, and engineering excellence at scale.
LLM Integration & RAG
Implementation of production-ready RAG and agentic workflows for knowledge-intensive automation, document intelligence, and customer-facing use cases.
Why hire me?
Two decades of international engineering leadership—from startup co-founder to enterprise architect—with proven expertise in scaling teams and delivering cloud transformations.
My experience
Over 20 years of software engineering leadership across international markets—from hands-on development to managing distributed teams and architecting enterprise-scale cloud solutions. Now specialising in AI-powered automation and freelance consulting.
AI Engineer | Solutions Architect
Freelance technical strategist specialising in AI-powered solutions for real-world business challenges. Building a portfolio that incorporates automation, generative AI, and large language models (LLMs) with modular, AI-driven components and services for solopreneurs, digital agencies, and innovative businesses.
- •Developed intelligent automation flows using n8n and AI agents for lead qualification, form handling, and content transformation
- •Created GenAI solutions for personalisation at scale including CV vs JD matching, branded slide generation, and storytelling pipelines
- •Developed RAG pipelines to support knowledge-rich domains like training, sales, and operations
- •Designed reusable AI templates for agency enablement, service freelancers, and content-driven businesses
- •Consolidated projects into GitHub for showcasing capabilities and demoing to private clients
Development Manager
Scaled distributed engineering teams (UK & India) from 3 to 8 engineers. Established Agile processes, initiated Dockerisation of legacy PHP stack, and built OpenAI-based code review assistant.
- •Scaled teams supporting Cedar and LMC product lines
- •Established SDLC best practices and Agile processes
- •Managed Azure Resource Manager and DevOps environments
- •Built OpenAI prototype for legacy code review
Solutions Technical Architect
Led major cloud migrations including CI/CD pipelines to Azure DevOps, Sybase to Azure SQL migration, and designed cloud-native EDI gateway architecture using Azure services.
- •Migrated CI/CD from Jenkins to Azure DevOps in 2 months
- •Led Sybase to Azure SQL database migration
- •Designed cloud-native EDI gateway with Apache Camel
- •Managed 1TB RDF data migration with Virtuoso clustering
Senior Java Developer
Delivered RESTful backend APIs for LMS (Soprano) using Java, Spring, and Hibernate. Provided mentoring and subject matter expertise across cross-functional teams.
- •Built RESTful APIs with Java, Spring, Hibernate
- •Cross-functional team mentoring and pairing
- •LMS system architecture and development
International Experience
Delivered Java/J2EE solutions across banking, insurance, and enterprise sectors. Co-founded WiDisplay, developed mobile solutions, and worked with major clients including Zurich Insurance, BNP Paribas, and Crédit Agricole.
- •Banking & insurance solutions (Zurich, BNP Paribas)
- •Co-founded WiDisplay - Android development
- •Enterprise Java/J2EE across multiple sectors
- •International project delivery experience
Featured projects
A selection of recent work across AI engineering, cloud architecture, and modern delivery practices.
LLM‑Powered RAG Assistant
Built a Retrieval‑Augmented Generation (RAG) assistant combining ChromaDB for vector search with OpenAI for document-grounded answers, including semantic search and robust prompting.
LLM‑Powered RAG Assistant
Built a Retrieval‑Augmented Generation (RAG) assistant combining ChromaDB for vector search with Ope...
Technical blog
Notes on AI engineering, architecture, and delivery—shaped by 20+ years of hands-on experience.
Learn how to implement production-ready Retrieval‑Augmented Generation systems that can handle enterprise-scale document processing with Azure AI and vector databases.
Explore proven patterns for building resilient microservices systems, including circuit breakers, saga patterns, and event sourcing.
A deep dive into essential design patterns every software engineer should know, with practical examples in Java, Python, and TypeScript.
A walkthrough of recent repositories, including AI automation tools, DevOps utilities, and cloud-native solutions with implementation notes.
Best practices for optimising CI/CD pipelines in Azure DevOps, including parallel execution, caching, and automated testing integration.
Practical approaches to integrating large language models into enterprise systems, covering API design, prompting, and performance optimisation.
Let’s discuss your AI transformation
If you’re looking to modernise platforms, introduce AI safely, or improve engineering delivery, let’s talk. I offer a free 30‑minute consultation to understand your goals and outline a pragmatic next step.