Freelancer profile translated to English.
Back to original languageAbout Kevin
Hello!
I help you find, implement, or improve a solution adapted to your project.
📈 Data
- Analysis of points of interest
- Implementation and commissioning of a model (machine learning/AI)
🤖 Chatbot
- Creation of a personalized chatbot adapted to your service
- Setting up a knowledge base searchable in natural language (RAG)
- Installation of chatbot monitoring tools
- Various improvements: moderation, performance analysis, fine-tuning, RLHF
📖 Training
- Deep learning
- Machine learning
- Algorithmics
- Mathematics
- Generative AI (LLMs, diffusion models, Unets, autoencoders, ...)
🌱 I have a particular appetite for projects with an ecological and/or scientific approach.
🔨 Tools and frameworks used:
- Languages: Python, LaTeX
- Data processing: Numpy, Pandas, Scipy
- Dataviz: Grafana, Streamlit
- Machine learning: Keras, Scikit-learn, Tensorflow
- Artificial intelligence: Langchain, Langgraph, Langfuse, Weaviate, ChromaDB
- Version management: Git,
French
Native or bilingual
English
Fluent
German
Basic
Spanish
Basic
Remote only
Primarily works remotely
Experience
- HumangoAI EngineerSPORTSAugust 2023 - Today (2 years and 10 months)Denver, United StatesDesign, implementation, improvement, and maintenance of a sports coaching application's **chatbot**.The chatbot is capable of:- Querying a knowledge base with aRAGmechanism. This knowledge base consists of product data as well as scientific articles on nutrition and sports practice.- Launching specific workflows flexibly to trigger actions (consult sports schedule, add workouts, modify plan, etc.).Langchainis used for managing the models and assistants used.Langraphwas chosen to build a hierarchical fleet of assistants. Finally,Langfuseallows monitoring each conversation between users and the chatbot to continuously improve it.Everything is hosted on **Google Cloud**.
- SUPINFOLinear Algebra TrainerEDUCATION AND E-LEARNINGFebruary 2023 - February 2023 (1 month)Tours, FrancePresentation of the theoretical concepts of linear algebra used in machine learning: vector spaces, matrices, metrics, linear applications, etc.
- SUPINFOMachine Learning TrainerEDUCATION AND E-LEARNINGJanuary 2023 - January 2023Tours, FrancePresentation of data preparation techniques, cross-validation, common classification algorithms (kNN, SVM, LDA, Bayes, decision trees), and regression.Practical exercises in Python with the Scikit-Learn library.
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Education
- PhD in Theoretical PhysicsAix-Marseille University2015Thèse de doctorat sur la géométrie non commutative et ses liens avec la quantification.
- Master's in Theoretical PhysicsAix-Marseille University2012