Lead Developer @ ADP.
Building @ArcaSchoolProject as a side project.
Eternal Student & Bare Metal Enthusiast.
"Fides et Ratio."
I started coding in the era of Visual Basic 6 and ASP, and I miss the Golden Age of Computing.
I miss when software came in boxes, manuals were thick, and deployment meant copying a compiled binary. I miss the raw honesty of the code and the silence of offline mode.
My goal is to capture that spirit of discovery and ownership using modern tools.
"It's not about the hardware; it's about the mindset."
My passion for Bare Metal and AI isn't new; it's rooted in my academic background.
- C++ & Qt Era: I spent years as a Project Lead at PRAV (UFRGS), developing real-time video streaming systems for Smart Surgical Rooms using C++ and Qt. Dealing with raw pointers and video buffers taught me the cost of every CPU cycle.
- Remote Sensing: During my Master's Degree, I researched Pattern Recognition and Remote Sensing. The math I used back then to process satellite imagery is the foundation of the Tensors I manipulate today in AI.
I am an eternal student. In a field where frameworks die every year, I choose to study what remains.
- The Engineer's Code: I seek to apply rigorous Software Engineering principles to Data Science. Notebooks are for sketching; production requires architecture.
- Bare Metal: I prefer Rust because it brings the safety that C++ lacked, without losing the ability to touch the iron.
- Memento Mori: Code rots. Systems fail. I strive to build software with the humility of knowing that simplicity is the only thing that survives time.
I build robust systems combining Enterprise Data Engineering with Bare Metal performance.
| Domain | Tools of Choice |
|---|---|
| The Iron (Backend) | Rust Axum Tokio |
| The View (Frontend) | HTMX Askama (Server-Side Rendering FTW) |
| The Data (Enterprise) | Apache Spark Databricks Delta Lake |
| The Brain (AI/Agents) | LLMs RAG LangChain Neuro-symbolic |
| The Soul | Vim Linux Mathematics |
I am currently pouring my efforts into my side project, the Arca Platform, while deepening my understanding of generative AI mechanics.
- 🧠 Deconstructing AI: Reading "Build a Large Language Model (From Scratch)" and re-implementing the core architecture (Self-Attention, GPT) entirely in Rust. No magic, just tensors.
- 🏗️ Building: An "Essay-to-Learn" LMS engine for Arca using the H.A.T. Stack.
- 🌱 Studying: Ancient Rhetoric & Rust Macros.
Coding like it's 1999.