Wilguiner A.

Principal Engineer

Software Engineer
8/1/2023 - Present

Developed and maintained a credit score simulation platform tailored for car dealers, focusing on the back-end application throughout the entire development lifecycle from initial concept to final delivery. Enhanced technical expertise in back-end development, leveraging a robust stack of tools and frameworks to create a seamless and efficient platform.

Fullstack Engineer
6/1/2022 - 12/1/2022

Developed a Chrome extension dApp that integrates with the Polygon mainnet and Twitch predictions, utilizing technologies such as Webpack, React, Solidity, Node.js, and S3 buckets. Managed the entire product life cycle from ideation through to completion, demonstrating comprehensive expertise in blockchain integration, front-end and back-end development, and cloud storage solutions. Ensured seamless communication between decentralized applications and third-party services, while maintaining high standards of code quality and efficiency throughout the development process.

Back-End Developer
4/1/2022 - 8/1/2022

Developed expertise in cloud security systems by implementing data ingestion and analysis for security incident alerts through CrowdStrike and Microsoft Graph API. Proficiently utilized Node.js alongside AWS serverless framework to streamline operations, leveraging S3 buckets for efficient data storage and service queues such as SQS and SNS for effective message handling and alert notifications.

Software Engineer
1/1/2021 - 6/1/2022

Developed and maintained a payment processing software for hospitals, focusing on delivering fast and scalable solutions within a team environment through agile methodologies. Built and optimized the application using the Java programming language, PostgreSQL for database management, and the Angular framework for front-end development.

developer of automated trading
1/1/2020 - 8/1/2021

Gained expertise in quantitative research and development of data mining algorithms, with a focus on automating market strategies and execution/risk models. Proficient in creating order book simulators and back-testing tools using C++, Node.js, and Python. Leveraged modern portfolio theory to develop original alpha models for high-risk emerging markets, including non-fungible tokens, binary options, and betting systems.

Computer Science at PUC Goias
2019 - 2023