From AI agents and RAG systems to healthcare integration and workflow automation — designed to be robust, secure and maintainable.
Mohamed Amine Charif
AI · Automation · Software
Tools & platforms I build with
I am passionate about technological innovation and dedicated to turning ideas into tailor-made solutions that truly meet your needs. With years of experience in software development and artificial intelligence, I specialize in building innovative systems that streamline and transform business processes.
Beyond development, I have taught at the university level and delivered training to industry professionals, helping them gain practical skills in programming, artificial intelligence, and automation.
My approach blends strong technical expertise with a clear understanding of business challenges, ensuring every solution delivers measurable value and impact. I prioritize modern technologies and proven best practices to create solutions that are robust, secure, scalable, and maintainable for long-term success.
Download CVThe tools and domains I work with every day to ship dependable systems.
Java, Python, JavaScript
LangChain, Ollama, OpenAI API, AI Agents, LLM
PostgreSQL, MySQL, FileMaker, ChromaDB
n8n, Workflows, REST APIs, Integrations
HL7, FHIR, Data Migration, Interoperability
Cloud (AWS, Azure), Docker, CI/CD, APIs
We map the workflow, the constraints and the data. I clarify what success looks like before a line of code is written.
Architecture, integrations and a clear plan — chosen for reliability, security and long-term maintainability.
Iterative delivery with tested, documented components. You see working software early and often.
Containerised deployment, CI/CD and monitoring — plus training so your team owns the solution.
A conversational agent that answers from a company's own documents and acts on its internal APIs — running entirely on-premise so no data leaves the building.
→Instant answers for staff and customers, no per-token cloud bill, and full data privacy from local model hosting.
An integration engine that receives medical-availability slots from clinics in three different formats — native JSON, FHIR R4 bundles and HL7 SIU — normalises them, resolves the identifiers, and lands them in the booking system for the CRDS.
→One endpoint that any provider can send to, whatever their format, with identifier resolution, de-duplication and per-slot error reporting.
A Java service that turns hospital data — HL7 v2, CSV, JSON — into validated FHIR R4 bundles (Patient, Encounter, Observation, Practitioner), later repackaged as a Spring Boot microservice.
→99% conformance to FHIR profiles and a clean, independently deployable service that analytics and partner platforms can consume.
A rebuild of an n8n email-triage flow that hallucinated. Deterministic code now handles the rules; the LLM only makes the fuzzy judgement call, with a strict schema and a human review queue behind it.
→No more malformed output or invented values: the model can't choose a priority, a CC address or an SMS on its own — code derives all of that from a validated decision.
A self-hosted Node.js / TypeScript backend that replaces Supabase for React apps generated with Base44 — JWT auth, a dynamic REST API, sandboxed Deno functions and an automated deploy CLI.
→In production for multiple clients on both Windows Server and Linux, with FileMaker, SMTP and LLM (Anthropic / OpenAI / Ollama) integration built in.
A web portal for a university's PhD administration — profiles, supervisors, milestones, defenses and documents — with automated annual re-registration and report generation.
→One system of record replacing scattered spreadsheets and email, with re-registration and reporting that used to be manual now automated.
Anthropic · 2025
HL7 International · 2025
Udemy · 2023
Udemy · 2023
Udemy · 2023
Hugging Face hosts over 1 million models, datasets, and applications in 2024, with a valuation of $4.5 billion. Yet when I started in ML a few years ago, I could have easily missed this gem.
AI applications are transforming our industries, but their reliability remains a major challenge.
Did you know that 95% of enterprise audio content remains unexploited due to lack of efficient transcription?
Tell me about the workflow you want to automate or the system you want to build. You'll get a clear, honest assessment.
