Henrique Rachti Assumpção

Developed an MCP server to be used within an n8n pipeline, enabling automated workflow orchestration to feed and power a chatbot. The server acted as a bridge between the payment platform's back-end services and the conversational AI layer, allowing the chatbot to retrieve real-time data and trigger actions through structured n8n workflows.

Built a back-end service to handle crypto-to-fiat and fiat-to-crypto transactions using the Ripple (XRPL) network. The on-ramp flow accepted fiat payments and automatically submitted XRP transactions to the ledger via Ripple's payment APIs. In contrast, the off-ramp flow converted XRP holdings back to fiat and triggered core banking disbursements.

I implemented webhook listeners to track transaction status on the XRPL and drive downstream settlement actions. I also utilized Spring Boot, PostgreSQL for transaction persistence, Kafka for async event processing, containerized with Docker, and deployed on AWS.

Built a back-end system to generate, parse, and process ACH (NACHA) files for payment transactions. The engine consumes return files via Kafka, interprets return codes, and automatically triggers the appropriate core banking actions, including reversals, retries, and notifications.

I designed it with Spring Boot and Hibernate for data persistence, containerized it with Docker, and deployed it on AWS. I also covered it with comprehensive unit and integration tests using JUnit and Mockito, ensuring the correctness of file parsing logic and transaction flows.