A fifth-year Computer Engineering student at UEPG, with a current focus on mobile development utilizing technologies such as Flutter, React Native, TypeScript, and Redux. Possesses two years of experience in web development, working proficiently with Laravel, CSS, JQuery, and Bootstrap. Demonstrates expertise in programming with ReactJS, React Native, Flutter, Node.js, Java, and C, along with a foundational knowledge of native Android development using Kotlin and UI/UX principles.

A Mobile Developer specializing in Android platforms with additional proficiency in Swift and substantial experience in creating Hybrid applications using Flutter.

Business Intelligence Analyst with a tenure of approximately three years, specializing in data analysis and visualization. Demonstrates a consistent passion for the field and a commitment to continuous professional development. Possesses extensive experience from a previous 11-year career in compliance and customer complaints management within leading corporations, transitioning into business intelligence in 2018.

Front End Developer proficient in JavaScript, HTML, CSS, and React, with additional expertise in unit testing utilizing Jest and Enzyme. Demonstrates experience in Agile methodologies, specifically Scrum, and excels in team collaboration. Possesses strong skills in direct client communication, developed through roles in technical support and telecommunications.

Possessing extensive experience in projects centered on migrating from legacy systems, constructing APIs, integrating systems, and developing platforms, microservices, and MVPs, this individual has demonstrated expertise as a full-stack developer with a strong command of Java, Python, PHP, and NodeJS. Presently specializing in back-end development, there is a keen interest in advancing towards technical leadership roles.

An individual characterized by a strong dedication to self-improvement and a rigorous commitment to daily study. Demonstrates a receptiveness to constructive feedback that fosters growth. Balances familial responsibilities with a focus on expansion. Displays strong social skills, forming new connections with ease, and maintains a long-term commitment to fitness, consistently engaging in gym activities since the age of 16.

IT enthusiast with a strong passion for technology, recognized for a dedication to learning and adaptability. Known for a friendly demeanor paired with a commitment to excellence and transparency in work. Maintains a proactive approach in seeking clarification and providing constructive feedback.

A Systems Development graduate with professional engagement in the industry since 2020, specializing as a Full Stack Developer. Possesses expertise in Backend, Web, and Mobile services, currently with a primary focus on Mobile development. Demonstrates competence in managing projects through agile methodologies.

AWS Lex is a service for building conversational interfaces into applications using voice and text. It provides the deep learning functionalities of automatic speech recognition (ASR) for converting speech to text and natural language understanding (NLU) to recognize the intent of the text, enabling developers to create sophisticated, natural language, conversational bots.

An AWS Lex expert must have skills in natural language processing, proficiency in AWS services like Lambda and CloudWatch, experience with JSON for defining bot configurations, knowledge of RESTful APIs for integration, and familiarity with machine learning concepts.

How to hire a AWS Lex expert

AWS Lex was launched by Amazon Web Services in 2016. It was developed to leverage the same deep learning technologies that powered Amazon Alexa, enabling developers to integrate advanced conversational interfaces into their applications. The goal was to simplify the creation of chatbots and voice assistants by providing a scalable and easy-to-use service.

About AWS Lex

Strengths of AWS Lex include its seamless integration with other AWS services, robust natural language understanding, and scalability. Weaknesses involve potential complexity for beginners and dependency on AWS ecosystem. Competitors include 

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