Thomas – .NET, Typescript, Vue.js

The client is a financial services provider that offers infrastructure for regulated advisory platforms. This project involved the development of a rebalancer simulator as part of a SaaS platform designed to automate the real-time optimization and risk assessment of investment portfolios. The solution utilizes AWS Lambda and containerized backend services.

• Designed and implemented scalable rebalancer simulator logic for dynamic investment portfolios (supporting edge-case testing and compliance scenarios).
• Built Lambda-backed microservices and API Gateway endpoints for secure internal and external API access.
• Automated infrastructure deployment with Terraform, ensuring consistency and reducing setup time for new environments.
• Reviewed code and mentored two junior engineers on AWS services and container deployment.

The client provides portfolio management software for financial advisors. I improved the frontend of an account rebalancer interface, allowing real-time analysis and adjustment of portfolio changes. I also created a reusable component library and delivered interactive dashboards showing live account and market data.

• Designed and implemented modular Vue.js components for portfolio rebalancing workflows, ensuring code reuse and UI consistency.
• Developed pixel-perfect responsive layouts and dashboards according to UI/UX and brand specifications.
• Integrated Pinia for centralized, reactive state management and real-time updates of portfolio and market data.
• Implemented dynamic chart and visualization modules with Chart.js for instant data interpretation.
• Set up E2E automated tests using Cypress to maintain interface reliability across releases.
• Worked closely with backend engineers and product managers to define API contracts and streamline data flows.
• Performed peer reviews and mentored junior developers on scalable, maintainable frontend design.

The client is a prominent fintech institution in Brazil that developed a backend platform automating the credit card approval process using Kafka and .NET. This solution replaced manual workflows, improving speed, reducing human error, and allowing integration with legacy banking systems.

• Designed asynchronous workflow using Kafka consumers/processors, supporting peak loads of thousands of requests per minute.
• Implemented BFF for secure data orchestration and client access, bridging legacy and cloud services.
• Conducted architectural reviews to ensure scalability and maintainability, reducing operational overhead.
• Integrated robust error handling/logging.
• Mentored two junior developers, managed code reviews, and provided onboarding.
• Coordinated requirements and integration across compliance, IT, and product teams.

The client specializes in developing automation and integration solutions for insurance brokers and agencies in Brazil. They have built and maintain a digital insurance management platform that enables brokers to quote, issue, and manage policies online. This platform integrates with insurer systems and automates the processing of insurance data.

• Architected and implemented RESTful APIs using .NET Core and Python, which lowered API response times by 40%.
• Developed Selenium-based automation to extract insurance data from legacy portals, reducing manual entry by 60+ hours/month.
• Designed and maintained an integration framework for onboarding new insurer partners, standardizing ETL/integration workflows.
• Applied CQRS with EF Core, Redis, and MongoDB, scaling to thousands of simultaneous connections.
• Delivered Vue/Nuxt UI for agents, enabling streamlined account management and claims submission.
• Managed infrastructure as code using Terraform/Azure, ensuring deployment repeatability.
• Led peer code reviews and mentored junior developers.