Felipe Pereira

Architected and delivered an AI-powered computer vision platform in two months, processing thousands of camera frames daily. Led backend modernization with Node.js, NestJS, and TypeScript, and designed event-driven architectures with Kafka handling over 5 million messages per day.

Evolved the MRP system by refining manufacturing process modeling and developed analytical resources to identify production bottlenecks and refine cost structures.

Contributed to the initial development of an MRP system for a payment terminal factory, modeling manufacturing workflows and business rules to support cost analysis and production-stage visibility.

Contributed to an airport management and operations platform for AeroPs, developing a mobile application module using Flutter to improve user flows for ground crews and airport operators.

Adapted an Indian superapp to the Brazilian market, resolving critical quality and stability issues and improving platform performance and reliability across delivery and ride modules.

Contributed to the rewrite of a critical system for DIMED/Panvel, migrating complex business logic from Oracle PL/SQL to a modern Node.js-based API and improving API performance and stability.

Contributed to distribution center systems for Walmart Brazil, playing a key role in the Decreto ST project that freed up R$ 30 million per year for investment by implementing complex fiscal rules in Oracle PL/SQL.

Built foundational programming and domain knowledge while working on systems for the footwear manufacturing industry, contributing to a critical project aligned with Brazil's SPED Fiscal Bloco K requirements.