Ziad Yaacoub

Backend/cloud software engineer with 4+ years of experience building production systems using C#, .NET, AWS, PostgreSQL, Redis, RabbitMQ, and event-driven architectures. Experienced in observability, feature flags, IoT provisioning, image-processing pipelines, and real-time WebRTC/AI systems.

Software Engineer at Inmind.ai (2022-02 – Present)

• Built and maintained backend services in C#/.NET and AWS, contributing to a production platform with microservices, serverless components, messaging, and cloud-based device integrations.
• Enabled safer feature launches by building tenant-based AWS AppConfig rollout controls for gradual releases, targeted enablement, and A/B testing.
• Improved real-time robot zone-access decisions by building a Flink-backed ingestion flow that turns live robot state into reliable occupancy and admission updates.
• Designed an AWS IoT Core device onboarding and provisioning flow with serial-number verification, improving registration security and tenant-device association.
• Made distributed production issues easier to diagnose by adding AWS X-Ray tracing across microservices and Lambda-based request flows.
• Improved image loading performance by generating S3-backed thumbnails on upload and backfilling existing assets with a custom migration script.
• Developed a feature to keep device mapping data consistent across devices in the same area, improving real-time behavior and access to the latest available map.
• Architected a low-latency WebRTC-based AI pipeline connecting live meetings to Unreal Engine avatars with STT, LLM, and TTS interaction.

BE in Computer and Communications Engineering – Telecommunications and Networks – Antonine University (2026-06)