Michael Okiuvo
@michaelokiuvo
I build cloud-native AI platforms and distributed systems for personalized products.
What I'm looking for
At Netflix, I lead development of a cloud-native multi-agent personalization platform on AWS, using streaming data pipelines, Rust and Go microservices, Python AI orchestration, embedding retrieval, and low-latency inference to power recommendation experiences at scale.
I've also built real-time risk and fraud decisioning systems at Guidewire and cloud media processing platforms at Dolby. My work has improved media processing latency by 45%, throughput by 3x, buffering rates by 25%, and deployment frequency by 5x.
Across enterprise environments, I translate product and business needs into reliable, scalable systems that are performant, explainable, and trusted by the teams who use them.
Experience
Work history, roles, and key accomplishments
Designed and built a cloud-native multi-agent personalization platform on AWS, powering large-scale recommendation systems through streaming ingestion, distributed feature pipelines, Rust and Go microservices, multi-agent ranking, and low-latency inference. Led end-to-end development of core backend and ML infrastructure to improve personalization quality, scalability, reliability, and serving eff
Education
Degrees, certifications, and relevant coursework
Western Governors University
Master of Science, Cybersecurity and Information Assurance
2018 - 2018
Master of Science in Cybersecurity and Information Assurance from Western Governors University in 2018.
University of Wollongong
Bachelor of Science, Computer Science
2009 - 2012
Bachelor of Computer Science with a focus on Digital Systems Security from the University of Wollongong from 2009 to 2012.
Availability
Location
Authorized to work in
Portfolio
github.com/kzwangJob categories
Skills
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