Software Engineer at Nokia R&D — building distributed telecom systems and leading Agile delivery.
Transitioning toward AI Product Management. Based in Lisbon, working for the world.
I'm a Software Engineer and Scrum Master at Nokia R&D, working on Kubernetes-native distributed systems for mobile network infrastructure. I've been programming since before university — through 42 Lisboa, Nokia, and ISCTE's Computer Engineering degree.
Lately I've fallen in love with the product and delivery side of tech. I'm actively transitioning toward AI Product Management — where deep technical intuition meets user-focused thinking.
I use AI tools daily to accelerate both my engineering and my Scrum work. Not as a buzzword — as a genuine workflow shift that's changed how I operate.
Long-term goal: work remotely from anywhere. Already in progress.
What I'm doing now
Running sprint ceremonies for an R&D engineering team. Removing blockers, shipping predictably.
Graduating 2027. Algorithms, distributed systems, AI fundamentals.
Learning product fundamentals, studying AI systems, building in public.
Facilitating Agile ceremonies for an R&D engineering team building distributed telecom infrastructure. Removed blockers, aligned Product Owner and engineers, introduced AI-assisted sprint documentation. Running planning, review, and retrospectives for a cross-functional team.
Building synchronization mechanisms across containerized microservices in Nokia's Kubernetes-based Baseband platform. Production-grade distributed systems serving live mobile network infrastructure. Stack: C/C++, Python, Kubernetes, Docker, Git.
Project-based, self-directed learning in C, C++, and Git through 42's intensive peer curriculum. Sharpened autonomy, debugging mindset, and collaborative problem-solving before entering industry.
First post coming soon
How I use AI as a Scrum Master at Nokia R&D
In the pipeline
What I learned shipping distributed systems at Nokia
In the pipeline
My path from Software Engineer to AI Product Manager