Fernando Menardi

Joined as the first engineer to architect and build Margia's cloud-native platform, owning backend, infrastructure and data platform architecture for a retail intelligence SaaS. Designed distributed Go services, an event-driven Kubernetes platform with GitOps (Argo CD) and Terraform, and an observability and data platform using OpenTelemetry, Prometheus, Grafana, Loki and Tempo, enabling automated CI/CD and feature-flagged delivery.

Joined as the first engineer to architect and build the company's cloud-native platform from the ground up, designing both the backend architecture and the engineering platform powering a retail intelligence SaaS focused on pricing optimization, inventory replenishment and category management.

Owned the technical architecture across backend, infrastructure and data platforms, selecting and implem

Designed and developed high-performance backend services and real-time data pipelines for a GPS-based earthworks platform used by construction companies worldwide. Built Go microservices for telemetry ingestion and processing, implemented gRPC bidirectional streaming for real-time communication, and supported BI analytics through data processing workflows.

Worked as a software developer and DevOps for a hiring platform running in Japan. Owned services in a distributed service-oriented architecture using both synchronous and asynchronous communication and processing.

Developed software for a tax data processing platform, including microservices development and orchestration and frontend integration. Worked on data processing and analytics using cloud-native technologies, image processing, and machine learning.

Conducted a research project to build a prototype for inspecting surface defects in metallic parts using computer vision. The project was funded by a scholarship.

Conducted funded computer vision research to build a prototype system for inspecting surface defects in metallic parts. Focused on developing and testing the prototype inspection approach using computer vision.

This scientific research project aimed to build a prototype system for inspection of surface defects in metallic parts using computer vision. The project was funded by a scholarship.

Completed a Bachelor's degree in Mechanical, Mechatronics, Robotics Engineering and Control and Automation Engineering at IFSP from 2018 to 2023.

Completed coursework toward a Technology degree in Electrical and Electronic Engineering at Centro Universitário Salesiano de São Paulo.

Studied for a Technical degree in Mechatronics at Centro Universitário Salesiano de São Paulo and did not complete it due to missing internship requirements.