Specialized in machine learning, computer vision, and NLP. With dual Master's degrees in Data Science & AI and Finance, I bridge theory and real-world applications. Proficient in Python, PyTorch, and end-to-end data pipelines.
Specialized in machine learning, computer vision, and NLP. With dual Master's degrees in Data Science & AI and Finance, I bridge theory and real-world applications. Proficient in Python, PyTorch, and end-to-end data pipelines.
• Developed image and signal processing techniques to address artifacts and improve signal quality (ultrasound, MRI, CT, PET), working closely with clinicians, software engineers, and acoustic engineers to understand imaging physics (B-mode and Doppler artifacts, transducer characteristics), improve data interpretation and verify model validation.
• Designed machine learning and deep learning models to automatically assess the reliability of AI-generated medical image analyses across medical imaging, increasing robustness of clinical workflows.
• Developed an automated inflammation detection system using uptake distribution atlases. (publication1)
• Enhanced annotation and data augmentation strategies for tumor lesions by anatomical ontologies. (publication2)
• Implemented a lightweight AI agent using LLMs to support research assistance.
• Managed projects, defined roadmaps, collaborated with different teams, presented progress at meetings/conferences.
Keywords: Python · SQL · Pytorch · Deep Learning · Graph Neural Networks · MLflow · LLMs · Generative AI · LangChain · Mistral · AI Agents · Prompt Engineering · Acoustic Design · Ultrasound · MRI · CT · Linux · Git · Docker · API · AWS · Cloud
Project: Energy-Efficient Object Detection via event-based camera for autonomous driving cars application.
• Implemented YOLO with attention to process sparse neuromorphic signals and handle unseen object classes.
• Worked with sensor-driven data, temporal processing and optimizing power consumption for embedded constraints.
Keywords: Python · OpenCV · Object Detection · Sensor data · Power Efficiency · Linux · Git · Embedded system
• Designed machine learning classifier for phytoplankton via satellite data, 84% accuracy (+16% to non-AI models).
Keywords: MLFlow · Scikit-learn · Pandas · NumPy · MATLAB · Remote Sensing · Satellite Data · Data Engineering
Sentiment Analysis and Scientific Text Summarization – Natural Language Processing (NLP) Project
• Project 1: Sentiment classification models on Amazon reviews, achieving 94% accuracy and F1-score 0.88.
• Project 2: Built a summarization model for scientific publications, results ROUGE-1 0.47, ROUGE-2 0.29, BLEU 0.32.
Application of AI in Radio-Frequency Identification (RFID) - MOJIX, Aix-en-Provence, France
• Designed RFID tags detection deep learning model reaching 99.5% accuracy, increasing prior performance by 4.5%.
• Collaborated with embedded team to understand ADC data acquisition and align model with firmware requirements.
Interpretable and Explainable Machine Learning - INRAE, Sophia Antipolis, France
• Machine learning methods (SHAP, SAGE, and LIME) to assess gene contribution to disease prediction (publication3).
Keywords: NLP · Transformers · Deep Learning · Text Classification · Text Summarization · Data Analysis · Signal Processing · Python · R · SQL · Power BI · Tableau · Bioinformatics · Logistics · Firmware Alignment · Decision Support · ADC · Git
• Conducted analysis of cyber risks and banking–insurance markets, evaluating financial impacts and contributing to the optimization of risk management and hedging strategies.
Keywords: Data Analysis · Risk Analysis · Banking & Insurance · Cyber Risk · Risk Management · Decision Support
Development of an organ-specific 18-FDG PET normative uptake atlas and clinical application to the detection of organ inflammation. Link Paper
Knowledge-based semantic enrichment of medical imaging data for automatic phenotyping and pattern discovery in metastatic lung cancer. Link Paper
Disentangling plant response to biotic and abiotic stress using HIVE, a novel tool to perform unpaired multi-omics integration. Link Paper
• MSc Data Science and AI (Fully English)
• Degree classification: Very Good (Mention: Très Bien). Grade: 16/20.
• EFELIA Scholarship for excellent AI student.
Machine learning courses
Master 2: Advances in Finance and Accounting (Fully English)
Bachelor in Mathematics and Informatics
