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 22+ 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.
Multilingual Localisation & Translation QA
Native-fluency translation review and localisation QA in English, French, and Arabic—covering i18n architecture, content translation, and AI-assisted quality checks for SaaS and e-learning products going multilingual.
Why work with me?
From developer to startup co-founder, solutions architect to software engineering manager—today, I help companies take AI projects from prototype to production. Advice alone isn’t enough. The result is my commitment—but delivery is my promise.
My experience
Over 22 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 Solutions 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.
- •Develops intelligent automation flows using n8n and AI agents for lead qualification, form handling, and content transformation
- •Creates GenAI solutions for personalisation at scale including CV vs JD matching, branded slide generation, and storytelling pipelines
- •Develops RAG pipelines to support knowledge-rich domains like training, sales, and operations
- •Designs reusable AI templates for agency enablement, service freelancers, and content-driven businesses
- •Consolidates projects into GitHub for showcasing capabilities and demoing to private clients
AI Solutions Consultant
Delivered and scaled enterprise GenAI validation systems in a regulated pharma environment, transforming low-accuracy prototypes into production-oriented, auditable, and scalable AI platforms.
- •Scaled a reference validation platform from ~45% to ~76% accuracy against human validation benchmarks, with citation-level verification and auditable outputs
- •Engineered a scalable RAG pipeline across diverse pharma reference libraries, including document parsing, evidence retrieval, and verdict scoring
- •Transformed an editorial review platform from ~40% to ~65% accuracy, building the first formal evaluation pipeline with structured scoring
- •Established structured output contracts (JSON schema) with validation, retry/repair logic, and rule-based categorisation
- •Re-architected ETL ingestion pipelines with versioning and manifest-driven processing, and optimised the Snowflake vector schema
- •Enabled multi-tenancy and concurrent usage, and prepared migration from Render to Azure
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 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
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 22+ 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.