I'm a Data Science and AI coach at BeCode, with hands-on experience as an NLP engineer and a deep curiosity for everything in the data domain, from classical statistics to cutting-edge LLMs.
As a coach, I guide job seekers through the intricacies of data science (ML and AI as well), analysis and engineering, while continuing to build and explore solutions myself. I’m also passionate about cloud-native development, CI/CD, and DevOps practices. I find it deeply satisfying to design robust, elegant workflows that make data solutions reproducible, scalable, and easy to deploy, turning prototypes into production-ready systems.
My background includes working on:
- 🔎 Semantic search engines leveraging dense vector representations and similarity measures
- Keywords generation and deduplication
- ☁️ Cloud-native Python applications for scalability
- ⚙️ APIs, and deployment workflows
I believe learning by doing is the most effective path. My goal as a coach is to bridge the gap between theory and practice, encouraging students to build real-world solutions, write clean code, and understand the "why" behind the tools.
I'm currently diving deeper into:
- Retrieval-augmented generation (RAG)
- MLOps best practices
- Agents