Fullstack Developer with experience since 2020, currently serving as a Mid-Level Developer. Adept in backend development using PHP and Laravel, complemented by proficiency in MySQL. Demonstrates expertise in frontend development with TypeScript, JQuery, and SASS. Well-versed in Object-Oriented Programming and committed to adhering to best development practices.

An experienced developer with a career inception at the age of 14, initially specializing in Clipper. Possesses comprehensive expertise in both front-end and back-end development, with substantial knowledge in database systems. Successfully founded a company and developed an ERP system tailored for football clubs. Currently engaged in providing development services in .NET. Aspires to transition back to PHP or NODE to develop robust, user-centric applications.

A Full-stack Developer with a primary focus on front-end technologies, particularly Vue.js. Began a programming career as an intern, progressing through determined self-study and substantial practical experience. Demonstrates resilience in overcoming personal challenges and maintains an open-minded approach, actively consulting with supervisors to address obstacles effectively. Exhibits a strong commitment to tackling challenges and excelling in the field while continuously seeking opportunities for professional growth and distinction.

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.

Software developer with a decade of experience encompassing diverse fields such as aviation and photography, pivoted back to software development in mid-2019 to prioritize professional growth and skill enhancement. Demonstrates a strong work ethic and a collaborative approach to problem-solving, consistently maintaining high standards to drive both personal and professional excellence. Presently committed to achieving significant milestones within the technology industry.

A seasoned software engineer, proficient in both web and mobile development, backed by a solid educational foundation in Social Communication and Software Engineering and Artificial Intelligence. Possessing a well-rounded skill set, developed through various professional roles including Front End Developer, Full-Stack Developer, and IT Analyst, further enriched by immersive courses in full-stack web development. Technologically adept in JavaScript, TypeScript, Node.js, Git, React, Vue.js, GraphQL, Jest, Cypress, Adobe Experience Manager, and Docker, with a strong understanding of UX/UI design principles. Multilingual, with fluency in Portuguese BR, English, and Spanish, and experience as a web development instructor, earning accolades in multimedia production and gaining valuable international work experience.

Graduated in Computer Science from Universidade Federal do Maranhão in 2011, subsequently earning a Master's in Computer Science from the same institution in 2016. Currently pursuing an MBA in IT Management at the Instituto de Gestão e Tecnologia da Informação, with an anticipated completion date of 2018. Presently holds the position of Deputy Secretary of Information Technology and also serves as a Master Lecturer. Professional experience encompasses roles such as IT Systems Analyst, Java developer, and positions in IT Management and Project Management.

A Software Engineer specializing in backend development, proficient in Python, Django, Docker, and AWS, with experience in agile development methodologies and git-oriented workflows. Demonstrates a track record of delivering web and mobile applications across diverse contexts. Holds a degree in Computer Science, with a current focus on delivering high-quality software solutions. Committed to enhancing skills in DevOps to improve digital product experiences for global partners.

AWS Fraud Detector is a managed service that uses machine learning to identify potentially fraudulent activities in real-time. It helps businesses detect online fraud such as fake accounts, payment fraud, and loyalty program abuse by leveraging pre-built models and customizable rules.

An AWS Fraud Detector expert must have skills in machine learning, data analysis, and AWS services such as S3, Lambda, and IAM. Proficiency in Python or JavaScript for scripting and automation is essential. Knowledge of fraud detection techniques and experience with API integration are also crucial.

How to hire a AWS Fraud Detector expert

AWS Fraud Detector was launched by Amazon Web Services in 2020. It was created to help businesses combat online fraud by utilizing machine learning models and customizable rules to detect fraudulent activities in real-time. The service aimed to simplify fraud detection by providing an accessible and scalable solution for various industries.

About AWS Fraud Detector

Strengths of AWS Fraud Detector include real-time fraud detection, ease of integration, and scalability. Weaknesses may involve dependency on AWS infrastructure and potential costs for extensive usage. Competitors include Google Cloud's AI Platform, Microsoft Azure's Fraud Protection, and IBM's Trusteer Fraud Protection.

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