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Open to internship · Spring 2027
AI Engineering student specializing in healthcare AI and medical computer vision — with a broader foundation across machine learning, systems, networks and infrastructure to design and deploy AI for any domain.
Marouan Taleb
Selected work
A small selection — academic, concept and personal projects. Ask me about the ones that didn’t work, too.
Deep learning segmentation of MS lesions from brain MRI — FLAIR, T1 and T2 scans across 60 patients, comparing YOLOv8n-seg against U-Net, trained on a Tesla T4.
60
MS patients (MRI)
3
MRI modalities
2
models compared
An AI-powered maintenance platform for biomedical equipment: a technician speaks, speech-to-text feeds an LLM, and a structured intervention report is written straight to the database.
8
equipment types covered
5
step AI pipeline
QR
equipment tracking
A healthcare platform pairing doctor and patient interfaces with an AI diagnosis assistant and medical document management.
2
doctor & patient portals
5
technologies combined
AI
diagnosis assistant
A real-time voice assistant built on Gemini Live: speech, tool calling, camera and screen vision, and a FastAPI dashboard — with safe concurrency between the Qt interface and async workers.
12
integrated components
2
concurrency models
Real-time
voice + vision
A self-managed Linux environment for deploying, monitoring and deliberately breaking things — virtualization, containers, networking and observability, all self-hosted.
8
self-hosted services
3
monitoring tools
VPN
remote access
What I do
A model that never leaves the notebook is a research exercise, not engineering. I work end to end — from dataset to a system someone can actually use.
Segmentation, medical imaging, MRI analysis — AI systems built for the realities of healthcare data, not generic models applied as-is.
Dataset cleaning, augmentation, mask validation, model experimentation — the unglamorous work that comes before a model that actually generalises.
LangGraph agents, voice assistants, tool calling, LLM integration through OpenRouter and Gemini — from conversation to action.
Linux, virtualization, networking, IoT — the foundation everything else stands on, and what separates a notebook from a system you can deploy.
About
I’m an AI Engineering student based in Morocco, specializing in healthcare AI and medical computer vision — with a multidisciplinary background spanning systems and networks, software engineering, databases, IoT, and medical imaging.
That range isn’t a distraction, it’s the pipeline: systems and networks, then software, then data, then AI, then healthcare AI on top. Healthcare is my specialization and an added advantage, not a restriction — I can design, train and deploy AI for any domain, from a model to a system people actually use.
Healthcare AI is a specialization, not a limitation.
Before machine learning, I spent two years on infrastructure and networking — CCNA, virtualization, self-hosted services. It shows in how I work: I’d rather ship something small I fully understand than something large I can’t explain.
Trajectory
2026Present
Suptech Santé · Génie Digital & IA en Santé
Final specialization year — healthcare AI and computer vision projects moving toward a capstone, alongside the search for a Spring 2027 internship.
20252026
Suptech Santé · Génie Digital & IA en Santé
Deepening the healthcare AI and computer vision specialization — medical imaging, deep learning, and the applied projects of the engineering cycle.
20242025
Suptech Santé · Génie Digital & IA en Santé
The multidisciplinary base year: anatomy and physiology alongside algorithms, databases and machine learning — the seam between healthcare and engineering.
20222024
OFPPT · Systèmes & Réseaux
Two years on networks, systems and infrastructure — routing, switching, Linux and virtualization. The foundation everything since has been built on.
20212022
Sciences Expérimentales
General scientific track, before specializing into digital infrastructure and, later, AI.
Contact
Healthcare AI, medical computer vision, or AI engineering more broadly — I read every message.
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