About Me:
I enjoy coding, understanding, and explaining. Thinking about software/data architecture solutions and implementing them. In fact, regardless of the language and tools, I learn quickly and enjoy picking my brain on difficult engineering problems.
Skills
Experience
Education
- Hard skills
·Python
·Kafka
·GenAI
·Self-hosting of LLMs in production env
·MLOPS
·Machine Learning / Deep Learning
·CI/CD
·Kubernetes
·Docker
·Spark
·RAG Systems
·REST API - Soft skills
·Excellent communication
·Problem Solving
·Leading by example
·Teamwork and Collaboration
·Attention to Detail
·High adaptation and learning abilities - Language
·Fluent French and English
·Intermediate Chinese and Japanese
- 03/2024-current
Data Engineer, Scientist / GenAI Developer at RTBF
· Delivering personalized recommendations to over 5 million users across media types including news articles, VOD, podcasts, and live TV, spanning two websites.
· Maintaining over 100 microservices within the recommendation architecture.
· Developed a uniform logging system for all recommendation APIs to support operational use and ensure compliance with EU/Belgian laws.
· Performed graph query optimization to enhance API response times using Cypher language in the Neo4j graph database.
· Contributed to the development of an internal framework, structured as a versioned Python library, and distributed via CodeArtifact.
·Technical stack : Python, Kafka, Neo4j, Kubernetes (EKS), Docker, Redis, AWS, Redshift, Postgres, Terraform, GitLab, CloudWatch, Grafana. - 01/2024-current
Data Engineer Consultant at Amaris
· Leading the development of a live pipeline that generate video summary of sports live stream for BeinAsia.
· Joining the development of the internal Data Platform solution, creating the end-user config builder interface from scratch. Engineering a DAG solution for lineage querying and building intricate features like user query validation.
· Participating in the creation of an easily deployable RAG, leveraging open source projects.
· Building a GenAI augmented scrapper, to scrap data from targeted website and previous research on efficient prompting to perform batch evaluation and classification with LLM calls - 07/2022-12/2023
Junior Data Engineer at Pragaz
·Developed and implemented interactive dashboards : using Dash, leveraging years of delivery data to visualize client locations and extract valuable business insights.
·Data-driven business development initiatives : including the creation, testing, and deployment of a web application and ETL pipeline, automating data scraping processes to streamline lead generation efforts.
·Technical stack : AWS (EC2, S3, RDS), Docker, Dash, Streamlit, PostgreSQL, Selenium, Beautiful Soup, Github Actions, Pytest, Pandas, SQLAlchemy
- 2023-2024
Master's degree in Data Science
OpenClassroom - CentraleSupélec - 2022-2023
Bachelor's degree in Data analysis
OpenClassroom - ENSAE - 2012-2015
Bachelor's degree in Video Editing
University of Rennes 2 - 2007-2011
High school diploma in science
