Case Study 01 — Enterprise AI Architecture
Cargoseer Risk Management Platform (Acquired by BigBear.ai)
Principal Software Architect & Lead Developer | 2024–Present
- Python
- FastAPI
- Apache Kafka
- PostgreSQL
- Docker
- ONNX
- AWS / GCP
The Challenge
Global port operations require high-throughput risk processing across continuous streams of cargo container X-ray images, OCR data, and shipping documents with zero-downtime reliability.
Architecture & Execution
- Designed and built the entire core microservices infrastructure using Apache Kafka event-driven messaging and Python/FastAPI backend services.
- Developed Cargoseer Inspector (X-ray & documents risk management platform) and Cargoseer Cortex (data accessibility & retrieval engine).
- Implemented GPU-accelerated ONNX inference pipelines in data-center paths, integrating computer vision, OCR, and LLM-based reasoning into auditable decision workflows.
- Built full Docker-based deployment infrastructure supporting both cloud (AWS, GCP) and air-gapped on-premises port deployments.
Outcomes & Impact
- Full nationwide deployment across all port operations in El Salvador.
- Architecture and production readiness served as the primary factor leading to Cargoseer's acquisition by BigBear.ai.