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Experienced professional with 8 years of expertise in the fields of product ownership, full stack web development, and mobile application development. Demonstrates a solid track record in overseeing product life cycles, implementing comprehensive web solutions, and developing mobile applications across various platforms. Proficient in employing various programming languages and development frameworks, ensuring seamless integration and high-quality user experiences. Skilled in cross-functional team collaboration, requirements elicitation, and project management. Adept at leveraging technical acumen to deliver innovative digital solutions that align with strategic objectives.

System Analyst specializing in Java and Python development.

Experienced developer since 2010, with a solid foundation in front-end and back-end programming, specializing in the JavaScript ecosystem in recent years. Proficient in technologies such as NodeJS and React, complemented by a background in team leadership.

Responsible for the technical management of software development and architecture with substantial hands-on experience across various technology stacks including Python, MySQL, SQL Server, PHP, and React Native. Demonstrates additional leadership in Node.js, GraphQL, MongoDB, and cloud architecture utilizing AWS, Google Cloud, and Azure. Well-versed in Infrastructure as Code (IaC) and DevOps methodologies for both AWS and Azure platforms. Specializes in designing, setting up, and managing data management environments geared towards data-driven solutions, big data, business intelligence, and data analytics. Currently advancing knowledge in the field of Artificial Intelligence from both business and technical perspectives.

A Front-End Developer with three years of experience dedicated to the maintenance of web applications and the creation of new features. Demonstrates consistent delivery of high-quality work and exceptional productivity, often exceeding established deadlines. Possesses extensive expertise in React, React Native, and TypeScript, with a readiness to address challenges across a range of front-end applications. Successfully led a project from conception, developing a mobile application from inception using React Native, which significantly enhanced skills in software architecture and design patterns. This experience underscores an ability to innovate and lead complex projects. Eager to apply this experience and passion for front-end development to new challenges, contributing to the success of innovative projects.

A Production Engineer with a degree from Universidade Veiga de Almeida and additional qualifications in Data Science from the Data Science Academy, possesses a focused expertise in the field. Extensive experience in sports content production, specifically American football, began in 2016 and culminated in the launch of a personal project in 2021, which honed communication, creativity, planning, and critical analysis skills. With four years of Technology industry experience, project involvement has included Speech to Text (Azure), Data Engineering using Azure Data Lake Gen2 and Data Factory, and maintenance of Virtual Analyzers for a petrochemical client, encompassing comprehensive Data Science project activities. Further experience includes an Associate Product Manager role with a data focus in the Logistics sector. Currently undergoing Machine Learning Engineer training at the Data Science Academy, with an anticipated completion date of April 2024, actively seeking a position as a Data Scientist.

Experienced full-stack programmer with a strong background in developing, implementing, and maintaining web applications. Proficient in a variety of programming languages and technologies including JavaScript, Python, HTML, CSS, and SQL. Demonstrates exceptional problem-solving skills, an ability to work independently or as part of a team, and a keen eye for detail to ensure high-quality code. Adept at managing projects from conception through to completion, ensuring timely delivery and adherence to client specifications. Consistently stays updated with the latest industry trends and technological advancements to deliver innovative solutions.

A highly skilled professional in Electronic Engineering with a strong focus on Computer Vision and Artificial Intelligence, possessing robust qualifications through a Bachelor's and ongoing Master's degree in Electrical Engineering. Demonstrated expertise in image processing, object detection, anomaly classification, and semantic segmentation utilizing advanced frameworks such as PyTorch, TensorFlow, and OpenCV. Current research as an AI & Computer Vision Researcher involves developing software to inspect visual defects in notebooks using sophisticated techniques aligned with Agile methodology. Proficient in handling various communication protocols and embedded systems, combined with practical experience in natural language processing and thermographic imaging solutions. A commitment to innovation is evidenced by participation in international educational programs and ongoing professional development in cutting-edge technologies.