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Achievements

Achievement: QuickdrawAchievement: Pull Sharkx2

Achievements

Achievement: QuickdrawAchievement: Pull Sharkx2

Highlights

  • Pro

Organizations

@GRIN-PUCRS

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carloshkayser/README.md

About me

I am currently a Ph.D. candidate in Computer Science at the Pontifical Catholic University of Rio Grande do Sul (PUCRS), Porto Alegre, Brazil, in the Network, Infrastructure, and Cloud Computing Research Group (GRIN) led by Prof. Dr. Tiago Ferreto.

Currently, I am focused on optimizing Distributed Data Stream Processing Applications on Edge Computing, advised by Prof. Dr. Tiago Ferreto (PUCRS) and Prof. Dr. Marcos Assunção (ÉTS).

Education

Ph.D. in Computer Science
Parallel and Distributed Systems
Pontifical Catholic University of Rio Grande do Sul (PUCRS), Porto Alegre, Brazil • Currently

M.Sc. in Computer Science
Parallel and Distributed Systems
Pontifical Catholic University of Rio Grande do Sul (PUCRS), Porto Alegre, Brazil • 2022

Technologist Degree in Internet Systems (TSPI)
Federal Institute Sul-Rio-Grandense (IFSUL), Passo Fundo, RS, Brazil • 2019

Experience

Research Internship
Computer System Architecture Research Laboratory (LASI)
École de Technologie Supérieure (ÉTS), Montreal, Canada • 2024 - Currently

Research Member
Network, Infrastructure, and Cloud Computing Research Group (GRIN)
Pontifical Catholic University of Rio Grande do Sul (PUCRS), Porto Alegre, Brazil • 2020 - Currently

Software & Data Engineer
Compasso Tecnologia Ltda, Passo Fundo, RS, Brazil • 2017 - 2020

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  1. EdgeSimPy Public

    Forked from EdgeSimPy/EdgeSimPy

    Python-based modeling and simulation framework for Edge Computing resource management policies

    Python

  2. lapse Public

    Lapse: Latency & Power-Aware Placement of Data Stream Applications on Edge Computing

    Python 4 1

  3. flink-getting-started Public

    Apache Flink getting started

    Python

  4. storm-getting-started Public

    Tweets word count using Apache Storm

    Java

298 contributions in the last year

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Activity overview

Contributed to carloshkayser/lapse, carloshkayser/simple-http-server, carloshkayser/reinforcement-learning and 25 other repositories
Loading A graph representing carloshkayser's contributions from April 21, 2024 to April 23, 2025. The contributions are 90% commits, 10% issues, 0% pull requests, 0% code review.

Contribution activity

April 2025

carloshkayser has no activity yet for this period.
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