Data Scientist specializing in Fake News Detection research through the application of Python and Machine Learning methodologies. Proficient in frameworks and technologies such as Django, Node.js, Angular, Java, Oracle Database, and MySQL. Currently serves on a Fraud Detection team, responsible for constructing machine learning models and conducting analysis to prevent banking fraud.

An accomplished back-end developer and technical leader with over three decades of experience, certified in CPA-20 by ANBIMA, demonstrating extensive knowledge in investment products including stocks, derivatives, fixed income, and cryptocurrencies. Distinguished for an adeptness at advocating for organizational interests, resolving intricate challenges, and leading product initiatives with a staunch emphasis on results and customer satisfaction.

Proficient in rapidly comprehending intricate business rules and new technologies, fostering team growth by disseminating knowledge effectively. Demonstrates unwavering dedication to meeting deadlines and project scopes, consistently designing creative and scalable solutions.

Serves as a strategic intermediary between internal and external stakeholders, adept at identifying needs and providing solutions that align with organizational objectives. Expertise encompasses budget management (CAPEX & OPEX), risk management, conflict resolution, and executive reporting.

Exhibits comprehensive knowledge in various programming languages such as Python, Node.js, JavaScript, JSON, TypeScript, PHP, PL/SQL, and Shell Script. Proficiency extends to prominent frameworks including Electron, Flask, GraphQL, NestJS, ExpressJS, and Laravel, along with experience in both relational and non-relational databases such as PostgreSQL, MongoDB, MariaDB, SQL Server, and sqlite3. Employs agile methodologies including TDD, BDD, SCRUM, and Kanban to optimize workflow.

Highly skilled in integrating systems through a multitude of APIs, REST, Webservices, and microservices, consistently adopting best practices in defining and implementing tests, conducting code reviews, and managing version control, always with a priority on maintaining clean, secure, and high-quality code. Possesses a broad understanding of various sectors including insurance, programmatic media, outsourcing, and financial markets, swiftly adapting to new domains and staying abreast of emerging technologies, including AI and Generative AI. Familiar with containerization using Docker and Vagrant, front-end development with Angular, React, and JQuery, and cloud platforms such as AWS and GCP.

Available for onsite, hybrid, or remote work in São Paulo, offering versatility in employment modalities including CLT, temporary, or PJ. Preparing for CEA certification to further enhance contributions either in system development or exploring new professional challenges within the financial market.

Experienced data transformation specialist with 15 years of expertise in converting data into valuable insights.

Objective: To engage with an organization that prioritizes employee empowerment and fosters motivation through meaningful responsibilities.

A Fullstack Developer with five years of experience, specializing in Python, Java, Angular, React, and cloud technologies including AWS and GCP. Demonstrates proficiency in frameworks and patterns such as Django, Flask, RestfulAPI, and Redux.

The candidate, currently pursuing a degree in Systems Analysis and Development, demonstrates a commitment to continuous knowledge and skill development within the technology sector. Possessing four years of experience as a Full Stack Developer, they exhibit proficiency in key technologies including Node.js (Express.js and Nest.js), React.js, and PHP (Laravel). Their competencies encompass database management systems such as Postgres, MySQL, and MongoDB.

In the past year, the candidate has dedicated efforts to advancing skills in AWS, gaining experience with services such as S3, SQS, Lambda, Step Functions, Cognito, and Athena, thereby enabling the development of scalable and efficient cloud-based solutions. Additionally, they have made notable contributions to the Web3 market by creating dashboards integrated with Polygon, employing tools such as 0x, Alchemy, and Tenderly.

Driven by a passion for innovative technologies, the candidate stays abreast of industry trends and is eager to further refine skills and contribute to challenging projects in systems development and emerging technologies.

A Software Developer with extensive experience since 2012 in the development of desktop, web, and mobile applications. Currently pursuing postgraduate studies in mobile technology development. Proficient in C#, ASP.NET MVC, Java, Kotlin, and Flutter, with expertise in integrations, database modeling, deployment, and web server management. Demonstrates familiarity with Firebase, Active Directory security policies, ETL processes, and the administration of AWS environments, Windows Server, and SQL Server databases.

Experienced Software Engineer with a robust background in the computer software industry. Possesses 6 years of experience specializing in C#, Microsoft SQL, LINQ, unit testing, and database management. Additional expertise includes Dart, WPF, Delphi, Kotlin, .NET Core, ASP.NET MVC, ASP.NET Web API, and ASP.NET web forms. Dedicated to writing clean and efficient code, with a passion for simplifying complex problems through effective software solutions.

Digital Asset Modeling Language (Daml) is a smart contract language designed for modeling and executing business workflows on distributed ledger technologies (DLTs). It enables developers to write contracts that automate complex multi-party business processes, ensuring data consistency and compliance across different systems.

A Digital Asset Modeling Language (Daml) expert must have skills in functional programming, understanding of distributed ledger technologies, proficiency in writing and debugging Daml smart contracts, familiarity with Daml's syntax and APIs, and experience with integrating Daml applications into existing IT infrastructure.

How to hire a Digital Asset Modeling Language (Daml) expert

Digital Asset Modeling Language (Daml) was created in 2016 by Digital Asset Holdings. It was developed to address the need for a high-level, domain-specific language capable of modeling and executing complex financial workflows on distributed ledger technologies. The goal was to improve efficiency, transparency, and compliance in multi-party business processes.

About Digital Asset Modeling Language (Daml)

Strengths of Digital Asset Modeling Language (Daml) include its ability to handle complex multi-party workflows, strong data consistency, and ease of integration with various DLTs. Weaknesses may involve its learning curve for new users and dependency on the underlying DLT infrastructure. Competitors include Solidity, used primarily for Ethereum smart contracts, and Chaincode for Hyperledger Fabric.

Digital Asset Modeling Language (Daml)

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About Digital Asset Modeling Language (Daml)

How to hire a Digital Asset Modeling Language (Daml) expert

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