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360° Video Processing Pipeline
2024 – 2025
Designed and led a staged, cost-efficient microservices pipeline for 360° video; reduced processing cost by ~30% through architecture and resource optimization.
PythonDockerAWSMicroservices
System design
Staged pipeline: ingest → decode → process (custom logic) → encode → publish. Each stage scaled independently; spot/preemptible for non-critical stages; checkpointing and retries. Storage lifecycle and batch sizing tuned for cost and throughput.
Highlights
- Owned system design for the video pipeline; moved from monolithic workers to staged, independently scalable services.
- Achieved ~30% cost reduction via right-sizing, spot usage, and storage lifecycle; improved observability for further tuning.
- Established patterns for modular deployment, monitoring, and operational runbooks.