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Erick Ortega
Junior Embedded & Computer Vision Engineer specializing in Edge AI and QA automation
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About
Built a Meta-style AI smart glasses system emphasizing on-device privacy and low-latency processing, spanning ESP32-S3/FreeRTOS firmware through an NVIDIA Jetson Linux edge-AI pipeline in Python/Docker. Strong in real-time streaming optimization (zero-copy GDMA, deterministic scheduling), encrypted transmission (AES-256), and reliability via stress testing and robust error handling; currently building CI/CD automation tests using Playwright and computer vision.
Experience
Education
Key Strengths
- Owned full-stack system end-to-end (embedded firmware through edge AI pipeline)
- Designed and executed iterative performance optimization (zero-copy, deterministic scheduling)
- Built low-latency encrypted video streaming pipeline (TCP + AES-256)
- Systematic integration approach with subsystem stress testing and bottleneck isolation
- Troubleshot low-level embedded issues (GDMA enablement, PSRAM memory addressing) despite poor documentation
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