Front-End Developer specializing in Angular with a focus on expanding expertise to encompass full-stack development.

Experienced Data Analyst with a record of success in Martech, Product Analytics, Customer Analytics, and Data Product Development. Demonstrated ability to deliver high-quality data solutions within both startup environments and established enterprises in LATAM and Europe. Proficient in the Python ecosystem, including FastAPI, Pandas, seaborn, flask, streamlit, Matplotlib, Scikit-learn, and Keras. Adept at developing data products using cloud technologies such as Azure Data Factory, AWS Redshift & Glue, and GCP Dataproc & Big Query. Skilled in data orchestration and transformations with tools like DBT, Great Expectations, and Apache Airflow, alongside experience in CI/CD environments with GitHub, GitLab, Confluence, and Jira. 

Proven expertise in programming, refactoring, and debugging. Experienced in working remotely within agile teams, possessing a proactive attitude and strong teamwork capabilities. Dedicated to designing data products that are high in quality, scalable, and impactful. Self-taught and curious, with a history of contributing to the transformation and growth of startups while generating value in larger companies.

An avid long-range cyclist, exploring the synergy between technology and cycling, and a gaming enthusiast, particularly interested in immersive gaming experiences.

Experienced fullstack web developer with extensive expertise in WordPress, PHP, CSS, HTML5, JavaScript, and related technologies. Demonstrates a strong track record in leading front-end development teams, implementing industry best practices, and delivering high-caliber websites. Skilled in theme customization, bug resolution, and offering thorough support. Fluent in Portuguese and English, with proficiency in Italian and Spanish.

A seasoned back-end and front-end developer with a decade of experience in web development, holding a Bachelor's degree in Information Systems, a Postgraduate degree in IT with a focus on IBM Mainframe, and an MBA in IT Governance. Proficiencies encompass Java (versions 8 and 11), PHP (versions 5 and 7), and Python 3, alongside frameworks such as Hibernate, Spring, and Zend Framework for backend development. Front-end expertise includes Angular 6, HTML, CSS, Bootstrap 4, jQuery, JavaScript, and Highcharts. Skilled in database management systems like PostgreSQL, MySQL, and Oracle, with knowledge of Agile methodologies including Scrum and ITIL frameworks. Additionally, possesses cloud computing capabilities, particularly with AWS.

A full-stack developer with over a decade of experience, holding extensive expertise in SQLServer, MySQL, and PostgreSQL for data processing. The professional journey includes significant contributions to registration web pages and internal corporate systems. Experience covers a range of applications including billing systems, securities settlement platforms, and corporate systems. Technological proficiencies encompass PHP, JavaScript, TypeScript, Node, and React, along with a solid understanding of agile methodologies.

Delphi developer with extensive experience spanning over 22 years, proficient in Delphi versions ranging from Delphi 5 to Delphi Tokyo. Expertise includes Delphi development with Oracle, PostgreSQL, and SQL Server databases. Maintains a collaborative approach to teamwork and demonstrates a strong commitment to ongoing professional development. Consistently seeks out new challenges and is dedicated to expanding knowledge of languages and technologies to enhance skill sets.

Skilled in the analysis and screening of service requests, with an emphasis on prioritizing demands based on project roadmaps and client requirements. Proficient in conducting root cause analysis of bugs and writing test cases using Behavior-Driven Development (BDD). Experienced in planning, writing, and executing both manual and automated tests across Front-end and Back-end environments utilizing tools such as Selenium, Cypress, Robot Framework, and Appium. Expertise includes functional, exploratory, regression, and system integration testing via WebServices. Competent in managing release packages with systems like Git and Jenkins. Adept at applying agile methodologies and proficient in data querying and manipulation across various databases, including SQL Server, Oracle, DB2, and MongoDB. Possesses software development skills with languages such as Java, JavaScript, Python, C++, and Delphi, and has practical knowledge of Docker and Postman.

A software engineer with two decades of experience, specializing in front-end engineering with a focus on agile environments and effective web application deployment. Recent projects center around React.js, Next.js, and Typescript, contributing to various industries including fitness, education, pharmaceuticals, cosmetics, and healthcare. Demonstrated the ability to bring significant value to notable institutions and smaller entities alike.

Seeking a front-end engineer position, bringing comprehensive knowledge in JavaScript, React.js, Next.js, HTML, and CSS. Developed full-stack solutions utilizing Ruby on Rails, MySQL, WordPress, PHP, and Node.js. Expertise in debugging, collaboration using GitHub/GitLab, and a foundational understanding of design, advertising, marketing, and SEO concepts.

Outside the tech domain, founded a food business, demonstrating entrepreneurial skills and brand development capabilities that expanded to multiple points of sale. This venture highlights adaptability and the ability to manage a business while engaging in a digital nomadic lifestyle.

Stanford Artificial Intelligence Language (SAIL) is a programming language developed in the early 1970s at Stanford University for artificial intelligence research. It extends ALGOL, incorporating features such as associative data structures, processes, and backtracking to support AI applications like natural language processing and robotics.

A Stanford Artificial Intelligence Language expert must have strong knowledge of ALGOL-based syntax and semantics, proficiency in working with associative data structures, and experience with process management and backtracking techniques. Understanding AI concepts such as natural language processing and robotics is also essential.

How to hire a Stanford Artificial Intelligence Language expert

Stanford Artificial Intelligence Language (SAIL) was developed in the early 1970s at Stanford University for artificial intelligence research. It extended the ALGOL language, incorporating features such as associative data structures and backtracking to support AI applications. SAIL played a significant role in AI research during that period, aiding in projects related to natural language processing and robotics.

About Stanford Artificial Intelligence Language

Strengths of Stanford Artificial Intelligence Language included its advanced features for AI research, such as associative data structures and backtracking. Weaknesses involved its complexity and limited adoption outside academic research. Competitors included LISP and Prolog, which offered more widespread use and community support in the AI field.

Stanford Artificial Intelligence Language

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About Stanford Artificial Intelligence Language

How to hire a Stanford Artificial Intelligence Language expert

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