Enthusiastic and reliable iOS Developer, dedicated in providing an excellent code with focus
on quality and always with a smile. Organized, detail oriented, and experienced.
Timeline
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Jobs
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Head of Engineering
Sword Health
Jun 2026 - Current(3 months)
Senior Manager of Engineering
Sword Health
Jan 2025 - Jun 2026(1 year 6 months)
Senior iOS Developer
TUI
Apr 2024 - Jan 2025(10 months)
Delivery Manager
Alongside
Jan 2024 - Apr 2024(4 months)
Delivery Manager
Near Sea Technologies
Apr 2023 - Apr 2024(1 year 1 month)
Head Of Mobile
Near Sea Technologies
Jul 2022 - Feb 2024(1 year 8 months)
iOS Developer
Near Sea Technologies
Apr 2022 - Feb 2024(1 year 11 months)
iOS Developer
Farfetch
May 2020 - Apr 2022(2 years)
iOS Developer
COCUS Portugal
Oct 2018 - May 2020(1 year 8 months)
Senior Mobile Consultant - IOS
ebankIT Omnichannel Innovation
Mar 2017 - Oct 2018(1 year 8 months)
Mobile Consultant - IOS
ebankIT Omnichannel Innovation
Oct 2015 - Mar 2017(1 year 6 months)
IOS native application and Apple watch developer.
Currently working on Apple Watch also in mobile banking related projects.
Mobile Consultant
ITSector
Feb 2015 - Oct 2015(9 months)
Automation Engineer
IMEON Engenharias de Controlo SA
Dec 2013 - Jul 2014(8 months)
Researcher
INESC Porto
Nov 2011 - Nov 2013(2 years 1 month)
A
Researcher
Autonomous Systems Laboratory ISEP
Nov 2011 - Nov 2013(2 years 1 month)
Education
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Master, Autonomous Systems
Instituto Superior de Engenharia do Porto
Jan 2009 - Jan 2011(2 years 1 month)
Graduated, Electronic and Computer Engineering
Instituto Superior de Engenharia do Porto
Jan 2004 - Jan 2009(5 years 1 month)
Projects (professional or personal)
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Banco Privado Atlantico (BPA)- iOS Mobile Application and Apple watch
Jan 2015 - Current(11 years 8 months)
Application development
B
Banco Único - iOS Mobile Application
Application development
Publications
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F
Field Experiments for Marine Casualty Detection with Autonomous Surface Vehicles
In this paper we present a set of field tests for detection of human in the water with an unmanned surface vehicle using infrared and color cameras. These experiments aimed to contribute in the development of victim target tracking and obstacle avoidance for unmanned surface vehicles operating in marine search and rescue missions. This research is integrated in the work conducted in the European FP7 research project Icarus aiming to develop robotic tools for large scale rescue operations. The tests consisted in the use of the ROAZ unmanned surface vehicle equipped with a precision GPS system for localization and both visible spectrum and IR cameras to detect the target. In the experimental setup, the test human target was deployed in the wa