AI Toolsen
How Hugging Face Became My Go-To Platform (And Why It Should Be Yours)
A practical tour of the Hugging Face ecosystem — models, datasets, Spaces, Inference — and how to use it from prototype to production.
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AI, Automation & Integration Engineer
AI and automation systems, built for production
AI agents and RAG systems, workflow automation, and healthcare-systems integration (HL7, FHIR) — engineered to be reliable, secure and maintainable.
- 39+
- Articles published
- 11+
- Case studies
- 10+
- Years in software & AI
Mohamed Amine Charif
AI · Automation · Software
Tools & platforms I build with
About
Engineering, from first requirement to production
6+ years, Canada & international
Healthcare interoperability — HL7 & FHIR
Trilingual — English, French, Arabic
I design and deliver software and AI systems end to end — from gathering requirements with your team to running in production. Six-plus years across Canada and internationally, mostly on AI applications, workflow automation and healthcare-systems integration.
I have also taught at university level and run professional training on programming, AI and automation — so what I hand over is documented and explainable, not a black box.
The priority is systems that keep working: modern, well-tested code; clear architecture; security and maintainability treated as requirements, not afterthoughts.
Expertise
A full-stack view, from model to production
The tools and domains I work with every day to ship dependable systems.
Programming
Java, Python, JavaScript
AI & Agents
LangChain, Ollama, OpenAI API, AI Agents, LLM
Databases
PostgreSQL, MySQL, FileMaker, ChromaDB
Automation
n8n, Workflows, REST APIs, Integrations
Healthcare IT
HL7, FHIR, Data Migration, Interoperability
Infrastructure
Cloud (AWS, Azure), Docker, CI/CD, APIs
Work process
A predictable path to working software
01
Discovery
We map the workflow, the constraints and the data. I clarify what success looks like before a line of code is written.
02
Design
Architecture, integrations and a clear plan — chosen for reliability, security and long-term maintainability.
03
Build
Iterative delivery with tested, documented components. You see working software early and often.
04
Deploy & support
Containerised deployment, CI/CD and monitoring — plus training so your team owns the solution.
Projects
All case studies Selected work
AI Agents01
Custom AI Agent for Knowledge & Support
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.
Healthcare IT02
MAIE — medical availability integration engine
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.
Healthcare IT03
FHIR R4 Bundle Generator for Healthcare Systems
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.
AI Agents04
Victoria — reliable email-triage agent
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.
Platform05
BurgerBase — a self-hosted backend for Base44 apps
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.
Web Apps06
Doctoral Student Management Application
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.
Credentials
Certifications & training
Model Context Protocol: Advanced Topics
Anthropic · 2025
HL7 FHIR Fundamentals
HL7 International · 2025
Full Stack: React and Java Spring Boot — The Developer Guide
Udemy · 2023
Spring Boot 3, Spring 6 & Hibernate for Beginners
Udemy · 2023
Spring Boot Unit Testing with JUnit, Mockito & MockMvc
Udemy · 2023
Articles
All 39 articlesAI & automation, in practice
Programmingen
Testing AI Applications: Unit, Integration and A/B Testing
How to test probabilistic AI systems — what unit and integration tests can still catch, plus eval sets and A/B testing for model behaviour.
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AI Toolsen
OpenAI Whisper: The AI Audio Transcription Revolution
How Whisper handles speech-to-text across languages and noise — model sizes, accuracy, running it locally, and building a transcription pipeline.
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Tell me what you're trying to build
Describe the workflow you want to automate or the system you want to build. You'll get a straight assessment — whether I can help, and what it would take.