Tommy Reddad is a Senior Software Engineer with 11 years of experience building high-throughput, secure cloud-native systems and event-driven platforms, currently shaping core messaging infrastructure at Google from Albuquerque. He led the automation of onboarding 35+ services to a centralized event platform, designed a schema-generation tool that cut integrations from weeks to days, and architected Envoy-based filters and a 100k+ QPS batching API for multi-tenant eventing. His background spans ML research and embedded speech systems, bringing deep algorithmic rigor from a PhD in Computer Science and teaching roles at McGill and Carleton. An active open-source backend contributor to the Knative Eventing project, he’s done substantive work on MT Broker ingress, channel address management, and v1 API migrations—practical contributions to a widely used Kubernetes eventing stack. Colleagues rely on him for technical strategy, security-compliance delivery for regulated markets, and mentoring that elevates team reliability and hiring quality.
11 years of coding experience
4 years of employment as a software developer
D.E.C. Pure and Applied Science Engineering Math and Physics, D.E.C. Pure and Applied Science Engineering Math and Physics at Vanier College
Master of Computer Science - MCS Computational Geometry, Master of Computer Science - MCS Computational Geometry at Carleton University
Doctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at McGill University
Contributions:17 reviews, 7 commits, 9 PRs in 10 months
Contributions summary:Tommy primarily contributed to the backend infrastructure of the Knative Eventing project. Their work focused on the MT Broker ingress, adding channel properties and integrating with the broker lister for address resolution. They updated tests to use v1 APIs and correct backoff algorithms. The user also addressed status annotation issues and implemented code for channel address management and correct retry configurations.
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