Freelancer profile translated to English.
Back to original languageAbout Kenan
🎓 Passionate about artificial intelligence and a recent graduate, I love using the power of machine learning 🤖 and data science 📊 to solve real-world problems. During my internship as a Junior Data Scientist, I had the opportunity to gain practical experience on projects using Python, TensorFlow, and advanced data analysis.
🌟 In parallel, I work as a freelancer creating custom machine learning models and helping my clients derive practical insights from their data. Always curious and enthusiastic about learning, I am currently undertaking an intensive 3-month Google Machine Learning Engineer training to deepen my skills in the efficient deployment and management of AI solutions.
🚀 Driven by curiosity and a constant desire to innovate, I seek to contribute to projects that have a real impact. To learn more about my achievements and projects, visit my website: 🌐
French
Native or bilingual
English
Fluent
Japanese
Conversational
Can work on-site
Paris (up to 20km)
Experience
- ManuquipMachine Learning EngineerMarch 2024 - Today (2 years and 3 months)
- **Project Management**: Software development project to extract product data from supplier PDFs, generating a comprehensive dataset. Use of Data Analysis and Data Mining techniques.
- **Technical Skills**: Implementation of Retrieval-Augmented Generation (RAG) with advanced models like ChatGPT and Mistral for NLP analysis.
- **Software Development**: Created “PDFToExcel,” a custom application using Python to convert PDF data into structured Excel sheets.
- Agile Practices
- PROJET PERSONNEL – FRENCH LLM (open‑source)Machine Learning EngineerJuly 2023 - January 2024 (6 months)Paris, France
- Training & Optimization: Trained a Transformer-decoder model on a 10GB French corpus, reaching 255,000 epochs, optimizing tokenization and hyperparameters.
- Model Parameters: Used models ranging from 10M to 7B parameters, improving performance and accuracy through Deep Learning techniques.
- Deployment Infrastructure: Deployed with Flask, Docker, Kubernetes, and HuggingFace, ensuring scalable and efficient model deployment.
- GPU Usage: NVIDIA GPUs from vast.ai
- InaguaMachine Learning EngineerJuly 2022 - December 2022 (5 months)
- AI Project Management: AI project to improve learner engagement in a dynamic startup, using Agile methods for rapid development.
- Educational Chatbot: Developed a web-based learning chatbot and automated the generation of personalized MCQs using NLP.
- Advanced Text Analysis: Implemented spaCy and Transformer models for text analysis, summary generation, and topic modeling.
- Deployment Expertise: Managed AI application deployments using Kubernetes on Heroku and GCP.
- MLOps Pipeline: Prototyped an ML pipeline with Kubeflow.
- Agile Practices
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Education
- Master 2 / BAC+5 - Artificial Intelligence engineeringESME Sudria2023Artificial Intelligence
- General BaccalaureateLycée Jacques Decour2017Baccalauréat général
Certifications
- Machine Learning - Stanford onlineCoursera2020
- Neural Network & Deep LearningCoursera2021