About Me
I bring ideas to life with clean, user-friendly web experiences. Software engineer by day, enthusiast and problem-solver by heart - with a passion for crafting impactful products.
Career
Oct 2023 - Current
Full-stack Engineer
Flowbotic • Coimbra, Portugal
Co-developed in-house dashboards and incident management tools for Autonomous Mobile Robot (AMR) fleets, enhancing operational efficiency and real-time monitoring.
Automated data processing workflows for robot telemetry by designing and maintaining databases, scripting tools, and end-user interfaces, streamlining data analysis.
Optimized high-frequency database operations, ensuring efficient insertion of 20+ rows per second while maintaining low-latency API responses.
Product owner of a multi-platform 2D editing tool for AMR routing management, overseeing development, usability improvements, and stakeholder collaboration.
Jan 2023 - Nov 2023
Research Fellowship
CISUC • Coimbra, Portugal
Survey of the current state-of-the-art systems for the automatic generation of new typefaces.
Compilation of data relevant to the generation of new fonts.
Replication of results and improvements in state-of-the-art systems.
Development of one of the first diffusion models specialized in font generation.
Design and development of a web application for typeface design aimed at designers and the general public, encompassing all the generative models developed during the research.
Jul 2022 - Aug 2022
Internship
CNC • Coimbra, Portugal
Planning, design, and development of a web application to support access to a database of research entities in the Portuguese innovation ecosystem.
Cleaning and pre-processing of existing data.
Documentation writing, including user manual guide, data modeling specification, installation guide, etc.
Modern web application aimed at the B2B (business to business) market.
Sep 2020 - Sep 2021
Research Fellowship
CISUC • Coimbra, Portugal
Research on GANs (Generative Adversarial Networks)
Research into indicators and methods for evaluating and comparing the performance of GANs. Study of metrics currently used in assessing the quality of data produced by GAN models.
Application of current implementations and construction of new GAN models. Generation of new smoke and fire images through neural networks in order to extend a pre-existing dataset. The new training dataset has the function of improving the performance of a model that classifies forest fire images.
Education
Sep 2021 - Jul 2023
Masters
Artificial Intelligence • University Of Coimbra
2018 - 2021
Bachelor
University Of Coimbra


