Freelancer profile translated to English.
Back to original languageAbout Syntiche
I am a passionate AI engineer and data scientist, holding a bachelor's degree in computer science and a master's degree in data science. I have expertise in computer vision and NLP, using machine learning, deep learning, Python, and C++. I have worked on vision inspection projects, document processing, and LLMs. As a teaching instructor, I teach programming, data science, and AI. Always seeking new challenges, I am ready to bring my expertise to innovative AI and data science projects.
Some tools:
- Programming languages: Python, C, C++, Java, Arduino, php, javascript
- Machine Learning: Scikit-learn, SVM, Random Forest, KNN, etc.
- Deep learning: Keras, Tensorflow, pytorch, onnx, onnxruntime, openvino
- Computer Vision: OpenCV, Scikit-image, deep learning, huggingface
- NLP: NLTK, Spacy, huggingface
- DataViz: Seaborn, SNE, T-SNE, matplotlib, Clustering, tableau, Power BI
- Data Processing: Numpy, Pandas, Scipy
- Databases: MySQL, XPath, XQuery, MongoDB
- Azure DevOps
French
Native or bilingual
English
Native or bilingual
Can work on-site
Paris (up to 50km)
Experience
- PARIS YNOV CAMPUSTeaching Instructor - IndependentEDUCATION AND E-LEARNINGJanuary 2024 - May 2024 (4 months)Nanterre, France- Conducting the Docker Containerization course.- Developing training materials and course programs tailored to each class.- Guiding students in their projects, ensuring personalized follow-up and technical support.- Designing and evaluating exams and practical assignments to measure students' acquired skills.
- MeerabelMission — Intelligent Photo Evaluation & Sorting System for MeerabelE-COMMERCEFebruary 2025 - May 2025 (3 months)Paris, FranceI designed and delivered an Image Quality Assessment (IQA) system that automatically scores and ranks photos, while learning user preferences from A/B comparisons. The approach combines a lightweight model optimized for mobile (Core ML / TensorFlow Lite) and a reproducible pipeline for data preparation, training, and deployment. The goal: accelerate the selection of the "best" images and offer a personalized ranking per user.What I didDefined requirements and quality/aesthetic criteria with the Meerabel team.Implemented a compact IQA model (MobileNet type) and a pairwise ranking system to learn from A/B votes.Personalized the score by user profile while maintaining good generalization.Exported models and optimized them for on-device inference (Core ML / TFLite) for low latency.Provided training notebooks/scripts, ready-to-integrate models, and an iOS/Android integration guide.MLOps best practices: data/model versioning and metric tracking.ResultAutomatic photo sorting with a 0-100 score and personalized ranking per user.Mobile-ready solution, easy to maintain and retrain based on product feedback.
- LalalabData ScientistE-COMMERCESeptember 2024 - November 2024 (2 months)Paris, FranceIn collaboration with Lalalab, I developed an image aesthetic scoring model to evaluate visual quality and optimize user experience. This project allowed me to work with TensorFlow, TensorFlow Lite, and Core ML to create high-performance models suitable for mobile inference.I performed specific model conversions to ensure compatibility with Core ML and TensorFlow Lite environments, facilitating their integration into iOS and Android. Additionally, I produced Swift and Kotlin inference code for seamless model utilization on these platforms. I also wrote detailed documentation and provided the code as a package, ensuring easy adoption and deployment for the technical team.This mission allowed me to strengthen my skills in model conversion and optimization for mobile, as well as in technical documentation and the development of ready-to-use solutions for constrained systems.This mission allowed me to consolidate my expertise in computer vision, model conversion and optimization for mobile, cross-platform development, and the development of ready-to-use solutions for constrained systems, while maintaining a strong focus on user experience and aesthetic quality.
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Education
- Master of Science in Data ScienceUniversity of Rouen Normandy2022Master, Science des données
- Bachelor's degree in Computer Science, Data ScienceUniversity of Rouen Normandy2020Licence informatique, science des données