Hakan delivered targeted reliability improvements for streaming inference workflows in the Adala repository by addressing a Kafka consumer and producer misconfiguration. Using Python and leveraging asynchronous programming and debugging skills, Hakan ensured that all tasks received predictions without data loss, improving batch processing and replica acknowledgment. In parallel, Hakan stabilized build tooling for the label-studio-client-generator repository by pinning the datamodel-code-generator dependency in YAML configuration, which reduced CI flakiness and enabled reproducible code generation. This work demonstrated a thoughtful approach to dependency management and system design, resulting in more predictable feature delivery and enhanced reliability for downstream teams and workloads.