When I was around 10 years old, I found myself staring at a newly released MacBook Air, completely fascinated by how incredibly thin it was. I couldn't help but wonder, How can it be so thin? How are computers even made? How do they work? 🤔This spark of curiosity sent me on a deep dive into understanding how computers function. I soon learned that engineers use "programming languages" to give computers instructions on what tasks to perform. That’s when I had my “aha” moment: I need to learn how to program!

I began with Python, then moved on to C. I started building simple tools, then servers, then web pages. I was hooked! At the age of 10-13, I had explored a variety of topics—from OS internals to networking. The sheer number of things there were to learn was addictive. I even started delving deep into Security. Participating in HackTheBox CTFs and other security challenges.At 19, I enrolled in a Telecommunications and Computer Engineering course at ISCTE in Lisbon.

During my time at college, I discovered that my true passion lay in the brains of software. I realized that the world evolves when the foundational systems evolve, and that became my niche and focus.Since then, my goal has been to build the brains of software, while also making it fast and scalable—whether it's backend systems, distributed architectures, OS internals, infrastructure, or anything related.No matter the field: AI, data, finance, transportation, or beyond... I thrive on solving complex and interesting challenges. 🚀

Programming languages

Frameworks

devops & infrastructure

Storage & databases

wanting to learn

Kafka simulator

I really wanted to learn kafka and how to use it in a cluster scenario. So this project simulates a kafka cluster where producers and consumers interact. Producers create messages based on a strictly defined Protobuf schema. But there is a chance (intended) for an invalid message to be introduced. When consumers get an invalid message, it is sent to the DLQ. The project uses strimzi.io. Additionally, observability also exists, for that I chose prometheus to generate metrics and grafana to visualize them.Tech used

Minietcd-raft

This project was a wayyy too ambitious idea that I came up with, when I was interested in learning more about how some distributed systems algorithms work under the hood. Was it fun? Yes! There are still some limitations that I have to work more on, but the MVP works really well. Just not ready for production hehe. This was definitely the most technical project I've done so far.It contains an UI for:
- interacting with K8S;
- monitor the raft nodes using Server-sent events (SSE) for live updates;Demo GIF on github ;)Tech used

WHEREAMI 🗺

Geoguessr clone, using free 3rd party APIs. I had this idea because at the time me and my friends wanted to play geoguessr but none of us had the paid version. So I built my own 😎Tech used

Agrifinder 🌱

App that connects local farmers with buyers seeing organic products. Bridging the gap between small-scale farmers and access to fresh, organic produce.Tech used

meeting finder 📅

Developed as a coursework project in a SCRUM methodology with 4 colleagues. This tool manages people schedules by importing webcal links. Simplifies event management and meeting scheduling by cross-referencing multiple calendars for optimal availability.Tech used