Rafia Ahsan
Machine Learning Engineer
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Introduction
I am a Machine Learning Engineer with strong expertise in deep learning, computer vision, and applied AI, holding a master's degree in Machine Vision & Artificial Intelligence from Université Paris-Saclay, France. I have hands-on experience in building and optimizing end-to-end ML pipelines, covering: Deep Learning – CNNs, RNNs, GANs, Transformers Reinforcement Learning – for model optimization and neural architecture search Computer Vision – image/video processing, 3D reconstruction, non-conventional cameras ML Engineering – data preprocessing, model training, evaluation, and deployment Core Skills: Python, PyTorch, TensorFlow, Keras, Scikit-learn, OpenCV, NumPy, Pandas, Git, Linux. I am passionate about designing scalable AI solutions. Currently, I am seeking ML Engineer roles where I can apply my expertise to solve complex problems in computer vision and AI.
Expérience de travail
Machine Learning Engineer
Laboratoire IBISC, Université d’Evry, Université Paris-Saclay
mars 2025 - août 2025
6 mois
Évry, Île-de-France, France
- Built an end-to-end AI based pipeline for predicting stroke treatment outcomes from multimodal MRI data. - Developed lesion & thrombus segmentation modules using nnU-Net and Attention-LSTM, improving diagnostic accuracy and clinical interpretability. - Designed an unsupervised 3D image registration model for multimodal image alignment. - Applied machine learning, deep learning and AI techniques to real-world clinical data in collaboration with healthcare researchers.
Quality Control Engineer
HUAWEI Pakistan
août 2022 - août 2023
1 an 1 mois
Islamabad, Territoire fédéral d'Islamabad, Pakistan
− Implemented and maintained quality control procedures to ensure compliance with industry standards and Huawei's quality assurance policies. − Implemented and maintained Quality EHS to safeguard project quality.
Researcher
National Development Complex (NDC)
juin 2022 - août 2022
3 mois
Islamabad, Territoire fédéral d'Islamabad, Pakistan
− Research in deep learning and computer vision, specializing in multi-size vehicle detection from satellite imagery. − Utilized deep learning techniques with the PyTorch framework to optimize detection model for multi-size vehicle identification from satellite imagery. Project Title: Multi-Vehicle Detection in Satellite Images using Deep Learning based Detection Network
Researcher
Medical Image Processing Research Group (MIPRG)
sept. 2020 - mars 2022
1 an 7 mois
Islamabad, Territoire fédéral d'Islamabad, Pakistan
− Led medical imaging research, specializing in deep learning for tumor classification and segmentation. − Conducted comparative analysis of deep learning-based object detection models for tumor diagnosis. − Published findings in the ISMRM conference, contributing to advancements in AI driven medical imaging.
Formation
Université Paris-Saclay
Master's degree, M2 - Machine Vision and Artificial Intelligence
2024 - 2025
1 an
Résultat : 15.65
Key Courses: -Advances in Machine Vision -3D Data Analysis -Reinforcement Learning -Virtual and Mixed Reality -Image and Video Processing
Université Paris-Saclay
Master's degree, M1 - International Track in Electrical Engineering
2023 - 2024
11 mois
Résultat : 14.31/20
Key Courses: -Machine Vision -Statistical Machine Learning -Signal Processing -Image Processing -Electronics for Transmission -Design of Integrated Circuits -Embedded Systems
COMSATS University Islamabad
Bachelor of Science - BS, Electrical (Electronics) Engineering
2018 - 2022
4 ans 2 mois
Résultat : 3.45/4.0
Key Courses: -Digital Logic Design -Digital System Design -Digital Signal Processing -Communication Systems -Electronics -Electric Circuit Analysis -Analog Filter Design -Control System -Introduction to Computer Programming -Object Oriented Programming -VLSI Design - Embedded Systems -Multivariable Calculus
Licences et certifications
Chinese Language
Délivré le : déc. 2018