Erick080.github.io/index.html at main · Erick080/Erick080.github.io · GitHub

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    <title>Portfolio - Erick Branquinho</title>
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            Welcome to my site!
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                <h1>Erick Branquinho Machado</h1>
                <h2>Software Engineer</h2>
                <h2>Java | Spring Boot | Python | NodeJS</h2>
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                About.txt
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                <img src="imgs/erick.png" alt="Photo of Erick Branquinho" class="foto-perfil">
                <h3>About Me</h3
                <p>Hello! I'm a software engineer with a bachelor's degree in Computer Science from PUCRS.</p>
                <br>
                <p> I'm always looking for a new challenge to improve my skills and my knowledge. </p>
                <p> My areas of interest are: </p>
                <ul>
                    <li>Data analysis</li>
                    <li>Computer vision</li>
                    <li>Operational Systems</li>
                    <li>Backend development</li>
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                <p> You can check my LinkedIn <a href="www.linkedin.com/in/erick-branquinho">here</a>. </p>
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                My Projects
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                <h3>Recent Projects</h3>
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                    <img src="imgs/pose_landmarks_index.png" alt="Foto do Projeto 2">
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                        <h4>Physiotherapy CV</h4>
                        <p>A computer vision application capable of monitoring the execution of physical exercises giving
                             users feedback in real time. Uses the Mediapipe Pose Landmarker model to detect
                             the pacients body parts and OpenCV to plot the infered skeleton.
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                        <a href="https://github.com/Erick080/physiotherapy_cv">Github Repository</a>
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                    <img src="imgs/davint.png" alt="Foto do Projeto 1">
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                        <h4>Streamvis Enhanced</h4>
                        <p> A data analysis dashboard developed with the <a href="https://www.inf.pucrs.br/davint/">DaVint</a> research group. </p>
                        <p> Implements a pipeline to collect YouTube livestream comments and classify
                            the toxicity and sentiment of each comment using natural language processing models.
                            After processing the results, shows a dashboard with graphs and wordclouds
                            of relevant information using Streamlit.</p>
                        <a href="https://github.com/DAVINTLAB/StreamVisEnhanced">Github Repository</a>
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                    <img src="imgs/koala.jpeg" alt="Foto do Projeto 3">
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                        <h4>Koala Bot</h4>
                        <p>Simple Discord bot with audio player and dice rolls functionality.</p>
                        <a href="https://github.com/Erick080/koala_bot">Github Repository</a>
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