At Jooble, I develop and maintain Python production services and data-processing pipelines, and onboard clients by mapping XML, JSON, and HTML feeds into the aggregation pipeline.
I optimized indexing budgets for five high-volume projects, reducing indexer load by ~3.96M jobs/day and decreasing the US database footprint by 2.5–3M UIDs daily. I also implemented LLM-based automation for feed analysis and configuration generation.
I monitor production systems with Grafana and Kibana, investigate incidents, and improve reliability through hotfixes and retry and failure-handling mechanisms. Before Jooble, I taught Python programming at Logika and guided students through project-based learning.

