Possessing over a decade of expertise in customer support with a focus on Linux server administration for telephony systems, particularly those based on CentOS and Debian with Asterisk as the telephony software. Demonstrates strong proficiency in English reading and outstanding comprehension of Spanish in both reading and listening. Areas of specialization encompass VoIP, networks, telecom, Asterisk, Linux, and MySQL.

Software Developer with a Bachelor's Degree in Computer Science, specializing in back-end development, front-end development, and artificial intelligence. Predominantly experienced in back-end development, with substantial exposure as a full-stack developer, utilizing a principal technology stack that includes Node.js, Express.js, and Vue.js. Professional engagements primarily involve the development of chatbot and CMS projects, complemented by additional experience in e-commerce applications.

Academic experience is marked by involvement in artificial intelligence research, particularly in classification and regression algorithms as well as data mining, executed as a research scholar at the High Performance Computing Laboratory (LCAD). Research projects extensively employed Python and C++ for algorithm implementation and utilization.

A dedicated student and passionate data science enthusiast, actively seeking an initial opportunity for professional growth and enhancement. The primary goal is to acquire competencies and skills essential for comprehending business strategies and requirements. This includes the ability to manage, design, and develop comprehensive analytical solutions within the field of Data Science.

Currently engaged in master's studies and research on physics-informed neural networks (PINN) for petroleum reservoirs, integrating Partial Derivative Equation (PDE) models into deep learning applications.

Academic qualifications include a bachelor's degree in physics and a master's degree in artificial intelligence at PUC Rio within the electrical engineering department. Competencies encompass various Data Science frameworks, AWS Cloud Practitioner certification, extensive experience in Python (4.5 years), SQL, and expertise in machine learning and deep learning.

Career credentials demonstrate a diverse range of roles. Engagements include participation in a focused AI and data program at a Brazilian research center, contributions to digital transformation initiatives at an insurance company through analytics, data science, and AI, and involvement with a GovTech innovation laboratory. Additionally, experience as a Junior Researcher encompassed data analysis, scraping, and visualization tasks at the Federal University of Rio de Janeiro.

Programming experience totals four years with a focus on Python within data science and analytics, and two years in object-oriented structures. Comprehensive learning through distance platforms amounts to approximately 300 hours dedicated to machine learning and deep learning courses. Near completion is a 360-hour specialization in Machine Learning and Artificial Intelligence along with a scientific project at PUC Minas.

Proficiency in developing data science and artificial intelligence solutions is supported by the utilization of frameworks including Pandas, Numpy, Scipy, Sklearn, TensorFlow, Git, Dask, PowerBi, Matplotlib, Plotly, Seaborn, AWS, Azure, NLTK, StreamLit, Selenium, SQL, NoSQL, among others.

The candidate specializes in Systems Development and recently earned an MBA in Software Engineering, showcasing a strong affinity for technology. Demonstrating self-taught dedication and commitment, the individual excels in producing applications while continuously evolving within the tech landscape. Proficient in front-end development with a focus on React and TypeScript, the candidate also has experience with Vue and Astro frameworks. Their technical competencies extend to projects involving Node.js, Python, and PHP. Additionally, they have undergone training in Cloud AWS to deepen their understanding of cloud services and resources, and are currently enhancing their knowledge in SQL Database management. Known for punctuality, strong interpersonal relationships, and a lean mindset, the candidate brings a reliable and adaptable approach to their work.

Senior Software Engineer with over five years of experience in developing scalable and highly available systems. Specializes in Java backend development with extensive knowledge of frameworks such as Spring Boot and Quarkus. Demonstrates significant experience in leading technical teams, particularly within the banking sector.

Proficient in multiple programming languages, including Java, Typescript, and Golang, with a strong background in microservices architecture and messaging technologies, such as Kafka, RabbitMQ, and SNS. Possesses expert knowledge in cloud computing, with practical experience using AWS and GCP.

Outside of professional endeavors, maintains a strong family focus and enjoys video gaming, practicing Muay Thai, and participating in crossfit activities.

Product Management Professional with a focus on Data and AI, demonstrating a significant track record in the field. Possesses a Bachelor's degree in Mechanical Engineering, along with certifications in Google Cloud, Agile Management, and Data Science. Extensive career experience includes roles where product strategy leadership spanned various industries, particularly in positions of Product Manager. Dedicated to utilizing technical skills and agile methodologies to deliver data-driven products and foster impactful solutions. Interested in engaging with professionals to exchange experiences and pursue collective learning opportunities.

Software Analyst with a career initiation in software testing in 2015, providing a distinctive emphasis on quality in subsequent development roles since 2016, specifically through initial exposure to SCRUM methodologies. This professional has continuously pursued practical programming experience, contributing to various projects using technologies such as Java, Angular, React, Cypress, as well as some DevOps tasks, VBScript, and EXT.Js. Their work expanded further at an academic institution, incorporating .NET, ASP.NET classic, and SQL Procs, where they made significant contributions to a pioneering digital diploma project. Currently, their role encompasses developing and maintaining complex financial systems for clients, involving distributed applications and AWS tools like SQS, while adhering to Clean Code and Clean Architecture principles. Their responsibilities also include unit, component, and functional testing, as well as participating in SCRUM planning and status meetings, utilizing Kotlin with Spring Boot and Javalin. Additionally dedicated to fostering the development of interns through technical guidance and task support, they actively share knowledge, ideas, and suggestions within their team.

WeDeploy is a cloud-based platform designed to simplify the deployment and management of applications. It offers services such as databases, authentication, and hosting, allowing developers to build, deploy, and scale applications efficiently without managing the underlying infrastructure.

A WeDeploy expert should have skills in cloud computing, proficiency in deploying and managing applications using WeDeploy's services, and experience with databases and authentication systems. Knowledge of containerization technologies like Docker, familiarity with RESTful APIs, and understanding of front-end and back-end development are also important.

How to hire a WeDeploy expert

WeDeploy was developed by Liferay, Inc. and launched in 2017. It aimed to provide developers with a streamlined platform for deploying and managing applications by offering integrated services like databases and authentication. The goal was to simplify the development process, allowing developers to focus on building applications rather than managing infrastructure.

About WeDeploy

Strengths of WeDeploy included its ease of use, integrated services like databases and authentication, and the ability to quickly deploy applications without managing infrastructure. Weaknesses involved limited customization options compared to other platforms and a smaller ecosystem. Competitors included platforms like 

, and AWS Amplify, which offered similar cloud-based deployment and management services with broader feature sets or larger user bases.

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How to hire a WeDeploy expert

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