I'm a general engineer, data scientist, and developer passionate about crafting impactful, scalable solutions that drive real-world impact and innovation. My journey began in the aerospace industry, where I honed my skills in industrialization and project management. Driven by curiosity, I ventured into data science and software development, now specializing in creating data-driven solutions to optimize operations and enhance everyday life.

Stats	Contributions	Langs

• Industrialization: Developed tooling and processes, mastered variability with 6 Sigma methodologies.
• Project Management: Coordinated projects focusing on industrialization and production efficiency, including workshop design, activity transfer, and electrical engine development.
• Team Leadership: Led international teams to oversee the externalization of training and documentation products, ensuring compliance with S1000D standards.
• Technical Compliance: Aligned XML digital deliveries with customers specifications, achieving high-quality outputs through efficient teamwork.

Driven by a deep interest in data-driven innovation, I evolved to data science and software development to address modern industry challenges. This dual expertise allows me to create solutions that merge operational rigor with analytical power. By applying data science with industrialization knowledges, I develop models and tools that enhance decision-making, reduce inefficiencies, and generate measurable value.

• Data Science & Machine Learning: Scikit-learn, TensorFlow, Keras, Pytorch
• Big Data & Data Engineering: Apache Spark, Kafka, Apache Nifi, ElasticSearch, Kibana, MongoDB
• MLOps & DevOps: MLflow, GitHub Actions CI/CD, Docker
• AI: Langchain, ChromaDB, HuggingFace Transformers

• Hugging Face: Dataset, Model & Space for Collections
• Amazon Web Services (AWS): ECR, ECS, Secrets
• Google Cloud Platform (GCP): Data Warehouse, BigQuery, ML services, Looker Studio
• Microsoft Azure: DataLake, Data Warehouse, Virtual Machines, Pipelines, Power BI

1. Data Science & Machine Learning: Building and deploying models to drive actionable insights.
2. Artificial Intelligence & Deep Learning: Implementing neural networks and advanced AI architectures.
3. Software Development & Cloud Computing: Development with a focus on cloud deployment for scalability.
4. MLOps (Machine Learning Operations): End-to-end machine learning pipelines and CI/CD for robust model lifecycle management.
5. Data Engineering & Big Data: Creation of optimized data flows and infrastructure using big data tools and cloud solutions.

As a lifelong learner, I'm exploring the impact of blockchain on decentralization and secure data transfer, and quantum computing for faster, more accurate predictive models in complex systems.

I'm always excited to connect with others who are passionate about tech and innovation. Whether you're interested in collaboration, exploring new ideas, or just sharing insights—let’s connect!

Fun Fact: I'm a huge fan of Formula 1 and aerospace in general. I love the thrill of speed and the precision of engineering that goes into creating these incredible machines.