Ahmad Lobany is a software engineer with 3 years of experience building performance-critical backend systems, currently focused on enterprise-grade HR and recruiting integrations at Workday. He brings a strong AdTech pedigree from Taboola, where he helped architect a reactive Java service handling up to 500K QPS and scaled RTB pipelines to millions of requests per second. Proficient in Python and Spring Boot, Ahmad designs cloud-native, resilient workflows using Kubernetes, Argo, Kafka and AWS while emphasizing observability, TDD, and CI/CD. He also contributes to Prebid.js—improving the Taboola adapter with dynamic endpoints, TTL handling and unit tests—bridging front-end bidding integrations with high-throughput backends. Based in Israel and trained at the Technion, he combines systems-level performance tuning with pragmatic integration engineering for global enterprise clients.
3 years of coding experience
5 years of employment as a software developer
Bachelor's degree Computer Software Engineering, Bachelor's degree Computer Software Engineering at Technion - Israel Institute of Technology
Full-Stack Coding Bootcamp, Full-Stack Coding Bootcamp at Elevation
Setup and manage header bidding advertising partners without writing code or confusing line items. Prebid.js is open source and free.
Role in this project:
Front-end Developer
Contributions:7 reviews, 8 commits, 30 PRs in 5 months
Contributions summary:Ahmad primarily contributed to the Taboola Bid Adapter within the Prebid.js project. Their work focused on enhancing the adapter's functionality by implementing dynamic TTL, supporting dynamic endpoint URLs, and adding various features like bid floor acceptance, onBidWon handling, user sync, and GPP/FPD support. They also refactored code for readability and added unit tests to improve the adapter's reliability.
Server side component to offload prebid processing to the cloud
Contributions:12 PRs, 52 pushes, 10 branches in 1 year 8 months
nodejsserver-sideprebid
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