Systems I’ve worked on in production, described without confidential detail. Independent projects, when added, are listed separately and labelled as such.
Case studies are written up one at a time and published once their details are reviewed.
Search indexing driven by change data capture: database changes captured with Debezium, delivered through Kafka, and processed by consumers that keep OpenSearch indices, including vector indices, in step with the source of truth.
Large-volume data processing on AWS built with Spring Batch: orchestrating jobs, working with data in S3 and Athena, and designing retry and failure handling so that partial failures can be recovered without reprocessing everything.
Decomposing a monolith into services and improving backend performance: drawing service boundaries, moving work onto asynchronous paths, and reasoning about throughput, latency and the architectural trade-offs between them.