Pedro Monteiro
Technical Lead at Alviere- Claim this Profile
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Bio
Credentials
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Advanced Javascript
UdemyMay, 2017- Nov, 2024 -
The Web Developer Bootcamp
UdemyMay, 2017- Nov, 2024 -
Learn and Understand AngularJS
UdemyApr, 2017- Nov, 2024 -
Learn and Understand NodeJS
UdemyApr, 2017- Nov, 2024 -
JavaScript: Understanding the Weird Parts
UdemyMar, 2017- Nov, 2024 -
Automate the Boring Stuff with Python Programming
UdemyJun, 2016- Nov, 2024
Experience
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Alviere
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United States
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Financial Services
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1 - 100 Employee
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Technical Lead
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Jan 2021 - Present
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Senior Software Engineer
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Aug 2020 - Dec 2020
Alviere empowers every business to provide financial services to its customers quickly and easily. By providing an advanced single-integration plug and play software service, Alviere streamlines and automates the implementation and delivery of financial products like banking, mobile payments, card issuance, payment processing and cross-border currency exchange, enabling its clients to strengthen customer relationships, increase revenue and maximize profits.
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Mezu, Inc.
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United States
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Financial Services
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Software Engineer
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Aug 2017 - Jul 2020
Mezu is the only mobile money app that puts privacy first, letting consumers give and get money without sharing any personal information. Mezu is the only mobile money app that puts privacy first, letting consumers give and get money without sharing any personal information.
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Coreworks
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Portugal
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Semiconductor Manufacturing
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1 - 100 Employee
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Software Engineer
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Apr 2015 - Apr 2017
- Design and implement the reconfigurable hardware accelerator for Multi-Standard Multi-Channel Audio (AAC) and Video (H.264) Embedded Systems- Developed scripts in Python for testing automation - Design and implement the reconfigurable hardware accelerator for Multi-Standard Multi-Channel Audio (AAC) and Video (H.264) Embedded Systems- Developed scripts in Python for testing automation
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Instituto de Telecomunicações
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Portugal
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Research Services
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200 - 300 Employee
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Researcher
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Apr 2013 - Mar 2015
Working under European GreenEyes ProjectBinary Features for Visual Sensor Networks- Improve coding efficiency of local and global binary features- Enhance feature selection quality Working under European GreenEyes ProjectBinary Features for Visual Sensor Networks- Improve coding efficiency of local and global binary features- Enhance feature selection quality
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Education
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Instituto Superior Técnico
Master of Engineering (MEng), Electrical, Electronics and Communications Engineering