Freelancer profile translated to English.
Back to original languageAbout Elyes
AI & Data Science Expert | Make Your Data Meaningful
Independent consultant passionate about artificial intelligence and data analysis. I work with companies of all sizes to transform their data challenges into concrete opportunities.
What I do for you:
Do you have a generative AI project? Need to automate certain tasks? I develop AI solutions tailored to your needs.
On the machine learning side, I build high-performance predictive models: classification, recommendation, anomaly detection. From proof of concept to production.
Also specialized in computer vision: object recognition, defect detection, medical or industrial image analysis.
For voice and text technologies, I offer audio transcription, speech synthesis, and natural language processing (NLP). Ideal for chatbots, sentiment analysis, or information extraction.
Do your data need to be explored, visualized, or cleaned? I create dashboards that truly tell a story and structure your data to make it usable.
Finally, I develop web applications (fullstack or front/back-end) integrating AI: rapid prototyping or complete solution, depending on your needs.
French
Native or bilingual
English
Native or bilingual
Remote only
Primarily works remotely
Experience
- LiGHT Lab (Harvard & EPFL)AI engineerSeptember 2025 - Today (9 months)• Built a reasoning dataset (200K+ examples) by distilling GPT-OSS 120B; benchmarking fine-tuning strategies (LoRA/QLoRA), 15% accuracy improvement• Extended the TRL library to implement Magistral's GRPO; designed custom reward modelso Stack: Python (LLM, Pytorch, axolotl); HPC
- UNIL Applied AI LabAI engineer and research assistantJanuary 2025 - Today (1 year and 5 months)• Fullstack development + LLMOps of a large-scale multi-agent LLM platform for education; built a Knowledge Graph from documents uploaded by teachers (RAG + MCP + Knowledge Graph augmentation)• Collaborated with an NTU professor and an ETH researcher to analyze sentiment propagation dynamics in the Moltbook social network• Deployed several optimized LLM inference endpoints, and classified StackOverflow questions using Chain-of-Thought (CoT) prompting• Collaborated with a Stanford researcher on AI models to diagnose diseases (280+ conditions)o Stack: Python (Pytorch, HuggingFace, W&B, Node.js, Next.js, LangChain); Linux (Ubuntu)
- FameLink SACTO & AI engineerSOFTWARE PUBLISHINGOctober 2023 - February 2025 (1 year and 4 months)▪ Planned the development and deployment of a customizable AI agent that mimics a personality while adhering to specific budget constraints.▪ Compared and utilized the latest LLM and diffusion models, and implemented an RAG pipeline for efficient LLM memory management. ▪ Supervised a team of 10 engineers and developers for the projecto Stack: JavaScript (Next.js, Node.js); Python (Pytorch, HuggingFace); Linux (Ubuntu)o Skills: Strategic planning, Budget planning, Project management; MLOps; Agile
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Education
- MSc. Data ScienceÉcole polytechnique fédérale de LausanneDiplôme d'ingénieur en Data science.
- BSc. Communication systemsEcole polytechnique fédérale de lausanneBachelor en science de l'information, traitement de signaux et informatique. Cours pertinents : Intro. to ML / Probability & statistics / Artificial intelligence / Internet Analytics / Functionnal programming / Parallelism & concurrency / Prog. orientée objet
Certifications
- Deep learning in pythonDataCamp2023
- Image processing in pythonDatacamp2023