Paul Ajai
@paulajai
Senior software engineer specializing in large-scale ad tech and data pipelines.
United StatesWhat I'm looking for
I am a senior software engineer with 10+ years building large-scale ad tech, data pipelines, and real-time systems at Netflix, Meta, and Microsoft. I focus on delivering high-performance ad-serving platforms, analytics dashboards, and optimization frameworks using modern front-end and back-end technologies.
At Netflix I engineered dynamic ad-insertion pipelines, integrated real-time targeting models with Java, gRPC, and Kafka, and built advertiser-facing dashboards in Next.js and D3.js. Previously at Meta I developed Story Ads optimization logic with React Native and PyTorch, extended ads ranking services in C++ and Hack, and shipped e-commerce features on Node.js and MySQL.
I emphasize reliability and scalability through automated testing, CI/CD, Kubernetes deployments, and cross-team collaboration; I mentor junior engineers, introduce architecture decision records, and work closely with data science and product teams to improve monetization and user experience.
Experience
Work history, roles, and key accomplishments
NEEngineered dynamic ad-insertion pipelines and real-time targeting for Netflix's ad-supported tier, scaling to hundreds of thousands of requests per second and delivering advertiser dashboards that increased self-service campaign adoption.
MESoftware Engineer
Meta
Jan 2020 - May 2023 (3 years 4 months)
Built Instagram Story Ads optimization and advertiser dashboards, improved ad engagement and reduced inference latency by extending ads ranking services and integrating PyTorch models with GraphQL APIs.
MIImplemented real-time co-authoring synchronization and frontend diff-merge UI for Office 365, scaling services on Azure Kubernetes Service to support millions of concurrent sessions and improving autosave reliability.
Education
Degrees, certifications, and relevant coursework
UVUniversity of Virginia
Bachelor of Science, Computer Science
2014 - 2018
Completed a Bachelor's degree in Computer Science with coursework and projects focused on software engineering, distributed systems, and data pipelines.
Tech stack
Software and tools used professionally
Availability
Location
United StatesAuthorized to work in
Job categories
Skills
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