
Notícias do Dia
A daily European Portuguese news podcast built from curated RSS feeds, automated with GitHub Actions and published through RSS.
Separates news collection, audio generation and RSS publishing into repeatable workflow steps.
Software Engineer · Paddle
Software engineer with a background in aerospace engineering and artificial intelligence research.
Currently working on backend systems at Paddle, primarily with Go and Python.

My path runs from Aerospace Engineering through AI and NLP research to production software. I studied at Instituto Superior Técnico, researched at INESC-ID, worked at Unbabel, and am now a Software Engineer at Paddle.
Full professional experience on LinkedIn →
A daily European Portuguese news podcast built from curated RSS feeds, automated with GitHub Actions and published through RSS.
Separates news collection, audio generation and RSS publishing into repeatable workflow steps.

A web app for running AI-generated workouts, with timers, circuits, progress tracking, wake lock and sound cues.
Turns a structured workout into timed steps, including rest, repetitions and sound cues.
A satellite tracker with 3D visualisation, live positions, ground tracks, search and camera follow.
Combines orbital data and propagation with an interactive view of the Earth.

A receipt-splitting app with capture, perspective correction, item extraction, editing and totals.
Keeps receipt extraction editable before assigning items and calculating totals.
An MCP server that lets AI agents create, modify, validate and simulate Scilab/Xcos models.
Connects an agent’s tool calls to model validation and simulation in an existing engineering environment.
Master’s thesis · HPC-ULisboa repository
A C++ framework for training and inference with neural networks using low-precision posit arithmetic.
Explores mixed low-precision arithmetic as part of my master’s thesis.
Giving AI agents a practical interface to Scilab/Xcos models.
Read more →Reversing a convolution in Julia: the full explanation, equations and reconstruction experiments.
Read more →The complete Lagrangian derivation, Mathematica workings and original Python simulation of a double spring pendulum.
Read more →My master’s thesis work on training deep neural networks with mixed low-precision posit arithmetic.
Gonçalo Raposo, Pedro Tomás, Nuno Roma · ICASSP · 2021
Exploring fuzzy fingerprints for information retrieval.
Gonçalo Raposo, João Paulo Carvalho, Luísa Coheur, Bruno Martins · IPMU · 2024
Comparing prompting, retrieval and training for task-oriented dialogue generation.
Gonçalo Raposo, Luísa Coheur, Bruno Martins · SIGDIAL · 2023
Studying question rewriting in conversational QA, linked to the first-place SCAI QReCC 2021 system.
Gonçalo Raposo, Rui Ribeiro, Bruno Martins, Luísa Coheur · ECIR · 2022
An exploration of abstractive summarisation at document level.
Gonçalo Raposo, Afonso Raposo, Ana Sofia Carmo · Instituto Superior Técnico · 2022
Outside software, I spend a fair amount of time running, travelling and falling into new technical rabbit holes. I completed an Ironman in 2024 and still enjoy building and trying new things.
For software, research or project conversations, find me on LinkedIn or GitHub.