Summary
Joel Hanson is a pragmatic software engineer from Kerala with a decade of experience building cloud-native systems, full-stack applications, and AI-driven automation. At IBM he architected Event Streams infrastructure that processes billions of events with 99.9% uptime, cut Kafka cluster deployment time by 90%, and delivered production-grade Kafka Connectors with exactly-once semantics and 95% test coverage. Previously he led ML-powered hiring automation at impress.ai that reduced candidate assessment time from weeks to hours and boosted qualified applicant yield, and he has hands-on experience implementing CI/CD and secure payment integrations for commercial platforms. Joel combines systems-level thinking (Kafka, Kubernetes, Jenkins) with practical product impact—measurable speedups, reliability gains, and mentoring of early-career engineers. He is comfortable contributing to open-source ecosystems and improving developer tooling, evidenced by work on Strimzi integration and a kubectl plugin that raised user adoption.
10 years of coding experience
5 years of employment as a software developer
Bachelor of Technology (B.Tech.), Computer Science, Bachelor of Technology (B.Tech.), Computer Science at University of Calicut