About Muhammad
I am an AI and Machine Learning consultant specialising in medical imaging, biomedical signal processing, and deep learning. Based in Paris, I help healthcare organisations, MedTech startups, and research institutions turn complex medical data into reliable AI-powered solutions.
My expertise covers 3D convolutional neural networks for MRI analysis, EEG and ECG signal classification, object detection, and end-to-end ML pipeline development. During my research internship at CRMBM Aix-Marseille University, I built deep learning models for Multiple Sclerosis severity prediction from brain MRI, achieving significant improvement in classification accuracy using PyTorch and MONAI on HPC infrastructure.
I deliver reproducible, production-ready code with full documentation. Typical projects include feasibility studies, custom model development, explainability reports (Grad-CAM), and MLOps setup. I work remotely across France and Europe.
English
Native or bilingual
Urdu
Native or bilingual
French
Basic
Can work on-site
Paris (up to 50km)
Experience
- Aix–Marseille University, CRMBM–CEMEREM (La Timone)AI Research Engineer — Medical Imaging & Multiple SclerosisTECHFebruary 2025 - August 2025 (6 months)FranceDeveloped a deep learning system to predict Multiple Sclerosis severity (EDSS score) from brain MRI scans, helping neurologists prioritise patient care. Built end-to-end 3D CNN pipelines in PyTorch/MONAI processing T1/T2 volumetric MRI data. Implemented custom loss functions to handle severe class imbalance, improving Macro-F1 classification accuracy significantly. Added Grad-CAM explainability maps so clinicians can visually verify model decisions. Full pipeline ran on HPC/SLURM with reproducible, audit-ready code.
Deliverables: Trained model, explainability reports, full documented codebase, reproducible training pipeline.
- Gaichu (Kinettix), IslamabadTechnical CoordinatorNovember 2022 - August 2023 (9 months)Islamabad, Islamabad Capital Territory, PakistanCoordinated multi-site field operations and engineer schedules across technical projects. Managed work orders, ticketing systems and project workflows. Supported on-site technicians and provided remote technical assistance. Ensured timely delivery across multiple concurrent projects.Tech: Project management, field operations, technical coordination
- Huawei Technologies Pakistan Pvt. Ltd., PakistanRF & Telecom EngineerJanuary 2022 - October 2022 (9 months)Islamabad, Islamabad Capital Territory, PakistanPlanned and deployed microwave backhaul links for national telecom infrastructure. Prepared link budgets, path profiles, and frequency plans. Integrated and optimised MW services; audited network compliance. Hands-on with Huawei iMaster 2000 and iRiver equipment. Delivered the Ufone project on schedule coordinating cross-functional teams.Tech: Microwave planning tools, NCE iMaster 2000, RF propagation, LOS analysis
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Education
- Master of Biometrics and Intelligent VisionUniversité Paris-Est Créteil (UPEC)2025
- B.Sc. TelecommunicationUniversity of Engineering and Technology (U.E.T.)2021