«Leo Farias is one of the most exceptional back-end software engineers I've worked with! He's smart, has solid knowledge on software development best practices, and relentlessly seeks to deliver code which fulfills both customer and business needs. Not only that, but he's someone that's always investing on becoming a better people manager and taking his direct reports to the next level through close guidance and clear communication.»
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Staff Software Engineer with 11+ years of experience in software development, scalable…
Experiencia y educación
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Geratudo
A website that has several useful tools for the daily lives of Software Engineers, QAs, etc., to test their software. Additionally, the site has other useful tools for the general public.
The site has 5k monthly clicks. -
Course MIPS Assembly
Ver proyectoI recorded a series of classes with MIPS Assembly for my channel "Criando Código" on Youtube.
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Payment Splitter
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Payment Splitter:
Overview:
This project uses AWS Lambda, API Gateway V2, S3 and DynamoDB.
Everything managed through the serverless framework v3.
Resources(Table, SNS Topic, SQS Queue and S3) were created using Cloudformation.
Resend to send e-mails. We use the EMAIL_QUEUE to send e-mails.
S3 to storage files.
Cloudwatch to observalibity.
Zod to schema validation.
Deploy with Github Actions. -
Monitoramento remoto de pontos de ilumuninação
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Ver proyectoProject theme: Smart Cities.
Project for the discipline of Computer Architecture 2.
The objective of the project is to carry out a better control of the city's lighting points.
Current problem: When a pole burns or somehow fails to provide light, the population is the one who needs to call the lighting company in the region.
Solution: An LDR sensor on each pole captures the luminosity and sends a signal to a plate (Wemos D1) that communicates through an API, informing…Project theme: Smart Cities.
Project for the discipline of Computer Architecture 2.
The objective of the project is to carry out a better control of the city's lighting points.
Current problem: When a pole burns or somehow fails to provide light, the population is the one who needs to call the lighting company in the region.
Solution: An LDR sensor on each pole captures the luminosity and sends a signal to a plate (Wemos D1) that communicates through an API, informing the current status of the pole (on or off).
The Front-end consumes the same API and updates the information through Google Maps. So when a pole stops working, it's easy to quickly identify and solve the problem.
Idiomas
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Português
Competencia bilingüe o nativa
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Inglês
Competencia básica profesional
Recomendaciones recibidas
3 personas han recomendado a Leonardo
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