CV
Biomedical engineer working on biosignal acquisition hardware and functional prototypes. For a PDF or a fuller history, get in touch.
Research & engineering
Research Intern — FORTO 2.0
- Designed and built sensors and hardware for biomedical signal acquisition (ECG, EMG, IMU, air pressure).
- Embedded firmware in C/C++ for real-time operation; IoT systems over BLE, Bluetooth and Wi-Fi; communication APIs and protocols.
- 3D modelling and digital fabrication (FDM and resin printing, laser cutting and engraving); lab characterisation of sensors and hardware.
- Analysis, technical reports and development documentation.
Hardware / prototyping — HALO (Silently Controlled Language Generation)
- Rapid, iterative prototyping of wearable devices that measure EMG and accelerometry, classify it on-device, and stream to an iOS app.
- Firmware in C++ for filtering and classification; auto-reconnect protocol for BLE dropouts; haptic feedback and battery monitoring.
- Live demos on the Web Summit main stage and at the UN "AI for Good" summit in Geneva.
Research Grant — AIMHealth
- Designed and modelled three ECG-sensing phone cases; built three functional prototypes.
- Designed a new ECG front-end module based on the AD8232; initial experimental evaluation with 12 participants.
Summer Research Grant — "Verão com Ciência"
- Biomedical instrumentation and signal acquisition; lab evaluation of "invisible" electrodes for ECG.
Related build write-ups are on the projects page; papers are under publications.
Fencing
- Épée athlete on the Portuguese national team since 2016 — World Cups, European and World Championships at junior and senior level.
- National Team Épée Champion (senior) 2024 · National runner-up (senior) 2021 · High-Performance Athlete status 2017–2018.
- Coach since 2016 at Clube Atlântico de Esgrima — foundation and pre-competition classes; runs the club armory.
- Certified épée referee (2016); referees national events.
Education & training
MSc Biomedical Engineering (integrated) — Instituto Superior Técnico, Universidade de Lisboa
Level I Fencing Coach certification — Federação Portuguesa de Esgrima — 72h + 180h supervised placement
Introduction to Embedded Machine Learning (TinyML) — Edge Impulse / Coursera — 18h
Data Science: the KDD Process — Instituto Superior Técnico (MOOC)
Vital Signs: Understanding What the Body Is Telling Us — University of Pennsylvania / Coursera
Skills
- Embedded: C/C++, real-time firmware · ESP32 / ESP32-S3, Arduino, CH32V003 · BLE / Bluetooth / Wi-Fi, BLE HID & HCI
- Biosignals: ECG, EMG, EOG, IMU acquisition · analog front-end design (AD8232) · dry & printed electrodes · filtering and on-device classification
- Hardware: Two-layer PCB design · 3D modelling and printing (FDM, resin) · laser cutting and engraving · enclosures · textiles and sewing
- Data / ML: Python · data science (KDD) · TinyML with Edge Impulse
- Home automation: Home Assistant, ESPHome · Zigbee and BLE presence
Languages
Portuguese (native) · Spanish (native) · English (B2)