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Mohamed Rahmouni

@mohamedrahmouni

Message

Machine learning engineer specializing in medical time-series models and scalable AI deployments.

France

Message

What I'm looking for

I seek senior roles where I can build and deploy clinical-grade time-series AI, collaborate with research teams, mentor engineers, and impact patient diagnostics.

I am a machine learning engineer with seven years of experience building AI models for healthcare diagnostics, focused on time-series signals such as EEG, ECG, and EMG. I lead end-to-end model development from data processing and distributed training to deployment and monitoring.

At BioSerenity I developed BioSerenity-E1, a self-supervised EEG foundation model that achieved state-of-the-art performance in seizure detection and clinical classification, and I built scalable data pipelines and large-model training workflows using PyTorch DDP, Slurm, and AWS.

I am committed to producing readable, well-documented code, mentoring junior engineers, and advancing applied AI research—publishing work on foundation-model finetuning and clinical EEG screening while ensuring regulatory-aligned documentation for medical device integration.

Experience

Work history, roles, and key accomplishments

Current

Machine Learning Engineer

Current

BioSerenity

Jan 2020 - Present (5 years 8 months)

Developed BioSerenity-E1, a self-supervised EEG foundation model achieving state-of-the-art seizure detection and clinical classification; built scalable data pipelines and managed distributed training and deployment on AWS and HPC clusters.

PyTorch Distributed Training AWS MLFlow Slurm EEG Signal Processing Docker

R&D Signal Processing Engineer

BioSerenity

Mar 2018 - Jan 2020 (1 year 10 months)

Researched and implemented EEG/ECG signal processing algorithms (ICA, PCA, wavelets, IIR/FIR) and produced documentation supporting regulatory clearance; developed ECG quality indices and QRS clustering methods.

Python Signal Processing ICA Wavelets IIR FIR Filtering ECG QRS Analysis

Education

Degrees, certifications, and relevant coursework

Institut National des Sciences Appliquées et de Technologie (INSAT)

Engineering Degree in Software Engineering, Software Engineering

2014 - 2017

Activities and societies: Relevant coursework: Object Oriented Programming; Algorithms and Data Structures; Artificial Intelligence; Image and Digital Signal Processing; Linux System Administration; Computer Networks.

Completed an engineering degree in software engineering with coursework in algorithms, AI, and digital signal processing.