About Guillaume
🚀 Data & AI Engineer | Python Developer
🔧 Technical Skills:
- Advanced Python development and modular architectures
- NLP and RAG systems
- Machine Learning and Deep Learning
- LLMs and frameworks: LangChain, OpenAI, Anthropic Claude
- Data Science and statistical analysis
- Vectorization and semantic search
🛠️ Technical Stack:
- Cloud: AWS, Pinecone Vector DB
- Containerization: Docker, docker-compose
- CI/CD: Git, GitLab
- APIs: FastAPI, Flask
- ML Frameworks: TensorFlow, PyTorch, Scikit-learn
- Data: Pandas, NumPy, Matplotlib, Seaborn
- Databases: PostgreSQL, MongoDB
- Tools: Streamlit, Chainlit, Airbyte, BERT
🎯 Specialties:
- Design of asynchronous and scalable data pipelines
- Development and evaluation of ML/DL models
- Integration of LLM models into production
- Modular and maintainable architectures
- Data analysis and predictive modeling
- Predictive maintenance and time series analysis
💼 Project Experience:
- Industrialization of ML models in the cloud
- Design of AI systems with the latest NLP advancements
- Optimization and scalability of data solutions
- Implementation of data warehouses and pipelines
- Development of APIs and AI integration into existing products
🌟 Strengths:
- Pragmatic approach to AI integration
- Translation of business problems into technical solutions
- Technological watch on AI and Data Science innovations
- Excellent communication and project management skills
📞 Contact:
- Feel free to contact me now. I am available to help you with your project!
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French
Native or bilingual
English
Fluent
Experience
- Tenacy (ex AugmentedCISO)Data Scientist | ML EngineerMarch 2022 - March 2024 (2 years and 1 month)Lyon, FranceResponsibilities:• Creation of a data warehouse for anonymized customer data to understand platform usage, using Docker, Nginx, FastAPI, SQLAlchemy, Alembic, Git, and Postgres.• Implementation of a data collection system from various servers to a central database. Collection using Airbyte and Meltano ETL.• Data processing and transformation using Meltano, Dbt, and SQL.• Setup of Metabase, a platform for creating and visualizing dashboards for sales, development, and management teams.• Deployment of a server with a language model to accelerate customer onboarding. This model is integrated into Tenacy's web platform and usable by over 2000 Tenacy users.• Implementation of a generative AI (Large Language Model) in Python with Llama CPP, Deepseek-coder, Huggingface.Technical Environment:• Backend: Python, Flask, FastAPI, SQLAlchemy, Alembic, Postgres• Frontend: vue.js• Machine Learning: Pytorch, BERT, Sentence-Transformers (sBERT), Huggingface• Deployment: Ansible, Docker, Docker-compose, Nginx, Git, Gitlab CI/CD
- emlyon business schoolInstructorJanuary 2023 - April 2023 (4 months)Lyon, FranceInstructor for the "Introduction to Python" module at EM Lyon, taught in English for Master's students, concurrently with my permanent position at Tenacy.
- Esker FranceMachine Learning EngineerFebruary 2021 - July 2021 (6 months)Lyon, FranceResponsibilities:• Study of the state-of-the-art in text classification from OCR software output (Character Recognition).• Creation of labeled datasets of photos and texts to build and measure the performance of our learning models.• Creation and performance measurement of several multi-occurrence detection models.• Fine-tuning of a language model (BERT) with our data. Training of Machine Learning and Deep Learning algorithms on GPUs on an internal server.• Creation of a model for classifying expense categories with over 90% accuracy.• Integration of the prototype into a Docker container.Technical Environment:• Python, TensorFlow, PyTorch, FastText, Docker, Flask, Git, Azure• Internal servers with Nvidia GPUs• Agile methodology with Scrum Master
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Education
- Diplôme d’ingénieur en InformatiqueCPE Lyon2021
- Classe préparatoire MPSIInstitution des Chartreux2017
Certifications
- C2 ProficiencyCambridge Assessment English2020
- Machine LearningCoursera2019