I’m Pierrick — a project-driven AI & Data Engineering builder.
BeCode AI/Data student, learning by shipping end-to-end projects (pipelines + APIs + deployable prototypes).
Azure production experience from Cloud Operator roles (DexMach → Cegeka). ☁️
- 🔍 I love turning messy real-world problems into robust, end-to-end solutions
- 🧠 Curious by default: I want to understand why things work (or don’t)
- 🧩 I enjoy structure, clarity, and building systems that are easy to run & maintain
- 🌱 Constantly learning — I improve fastest by shipping projects and iterating
- Understand the problem, context, and constraints
- Explore multiple solution paths before committing
- Break complexity into small, shippable steps
- Prefer solutions that are explainable, testable, and scalable
- Iterate based on feedback, results, and real-world impact
- Strengthening Data Engineering foundations (pipelines, modeling, orchestration)
- Building portfolio-grade projects (API + Docker + CI)
- Growing into AI/ML Engineering on top of solid data systems
- Staying open to opportunities across AI, data, and product delivery
- 🚚 Delivery Market Analysis — SQLite → DuckDB semantic layer → Streamlit dashboard
https://github.com/pierrickvhk/delivery-market-analysis - 🏠 Immo Eliza — Deployment — FastAPI + Docker + Streamlit delivery
https://github.com/pierrickvhk/immo-eliza-deployment - 🚆 RailOps (Azure Train Data) — iRail ingestion → normalization → storage
https://github.com/pierrickvhk/challenge-azure