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AI4M / Jan 2023 — Jun 2023

Turning a stream of detections into an operational picture.

The system

Kafka-based industrial computer-vision pipelines across warehouse operations and automotive manufacturing. Events described PPE compliance, loading states, truck movement, process timing, and sealant application on parts.

My contribution

Built concurrent Rust consumers that converted raw inference events into business metrics. Modeled state and timing across streams, published processed outcomes for client database ingestion, and contributed to model fine-tuning and edge deployment.

Debugging the whole path

Investigated deployed behavior across compute, queues, device I/O, scheduling, and networking to understand where the system was losing time or behaving unexpectedly.