Erwan Le Blond

Architecture and code review in the context of a Monolith-to-Microservices migration (cloud-native design). Proof-of-Concept for transcoder migration to a full GPU pipeline, on-premise (edge) and on AWS cloud. Design and development of benchmarking and performance tooling for GPU/CPU video pipelines — 48% reduction in video processing time. Rework of Debian packaging and build system; tooling with Python (pandas, numpy, asyncio, FastAPI).

Designed and developed scalable microservices for Quortex Play Just In Time platform using container orchestration (Kubernetes) and cloud architecture principles. Maintained and evolved microservices architecture with focus on performance optimization and system scalability. Built advanced debugging tools for DASH Live to Video on Demand (VOD) conversion with significant performance improvements. Optimized Prometheus metrics implementation, reducing cardinality by 40% to enhance overall system performance and monitoring efficiency. Migrated critical FFmpeg workflows applying Test-Driven Development (TDD) methodology with comprehensive regression test suites. Re-architected multicloud backup library using Python asyncio, focusing on AWS S3 integration and Infrastructure.