About

Software engineer who progressed from software automation in live broadcast operations to owning the architecture and delivery of business-critical software systems across sales, finance, and field operations.

My work spans financial automation, an AI sales assistant, an offline-first field operations platform, and production automation. The common thread: replacing manual, error-prone processes with maintainable, well-tested software. I do my best work close to operations, where constraints are real and the tradeoffs matter.

Experience

2024 — 2026

Software Developer · Estância Bahia Leilões

Owned the architecture, implementation, and delivery of new business-critical software systems across sales, finance, and field operations while integrating with externally maintained legacy platforms.

  • Designed and built an internal AI sales assistant using a FastAPI (Python) backend and provider-agnostic LLM orchestration, enabling sales teams to match products with potential clients and query customer data, credit limits, and purchase history in natural language with real-time SSE streaming. Currently in production and under active monitoring ahead of a formal impact review.
  • Built bank file-based integrations for electronic payments, eliminating duplicate data entry in the banking portal and manual status updates, significantly reducing operational errors.
  • Architected and shipped a full-stack field operations platform with .NET Web API, Flutter Web, and an offline-capable Flutter mobile app, replacing manual paper-form registration. Scaled the system from a pilot project to manage 74% of total operations (processing over 900 livestock cataloging sessions, 3,000 lots, and 191,000 animals year-to-date in 2026). Achieved 79% team adoption, drastically reducing manual form transcription and unlocking geographic tracking and operational data analytics.
  • Delivered an integration layer around the core business system using .NET Web API, creating a stable boundary for external consumers and enabling integration across multiple internal and third-party applications while isolating them from the underlying legacy platform.
REST API.NET Web API.NETC#AWSSQL ServerPostgreSQLFlutterOffline-firstFastAPIAI/LLM
2020 — 2024

Broadcast Technician · Estância Bahia Leilões

Software automation and systems integration for time-critical production workflows.

  • Developed a .NET automation tool for mass video overlay generation, reducing production processing time by 87.5% during peak digital catalog periods.
  • Built secure data-extraction integrations between the auction management system and downstream production systems, eliminating manual data entry.
C#.NETFFmpegSQLLive BroadcastAutomation

Projects

Overlayer thumbnail
2026

Overlayer

Serverless video processing pipeline on AWS.

A database-free system that composites custom image overlays onto videos using FFmpeg, with direct S3 uploads and fully asynchronous processing.

  • Architecture: Event-driven pipeline using S3 → SQS → AWS Fargate, with job state inferred from object storage. The .NET 10 Minimal API runs on AWS Lambda for upload/status operations, while a containerized worker handles rendering.
  • Frontend & Infrastructure: Astro + React frontend with an interactive canvas designer; Pulumi IaC with isolated development and production stacks.
  • Engineering: Implemented idempotency, distributed locking, and failure handling using S3/SQS, with Outside-in TDD using WebApplicationFactory and LocalStack. Documented key architectural decisions with ADRs.
.NETAWS LambdaAWS FargateS3SQSDockerPulumiFFmpegAstroReactLocalStack
Source
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