Software EngineerJersey City · New York City area
I build software that makes complex systems useful.
For nearly six years, I've built data platforms, backend services, integrations, and internal products in regulated finance, primarily with Python, AWS, Kubernetes, and Terraform. I turn fragmented workflows into reliable systems that teams can operate and extend.
Now Building data-quality workflow infrastructure for JPMorgan Chase's Commercial & Investment Bank.
Selected work
External data platform
Designed the repeatable, configuration-driven approach used to integrate 45 external data products in the platform's first two years. The six-engineer team cut typical onboarding time 40%, reaching production in as little as four weeks; workloads reached 384GB while the platform used roughly 30% of its allocated cloud budget.
Data discovery platform
Built and performance-tuned an internal platform for 150K+ datasets, running eight containerized services on EKS and serving 2M+ daily queries with sub-two-second Solr response times. Led the initial W3C DCAT vocabulary mapping.
Data-quality workflow
Architected and built a Python application on EKS with scheduled Argo orchestration, Iceberg-backed state, and Avro/Kafka publication. Drove the design through governance approval and cross-team validation; real-output validation surfaced breaks in roughly five minutes instead of hours or days.
Platform reliability
Recovered backdated pipelines after tracing missing data to inconsistent Terraform configuration in an S3-copy path, then added component tests to the platform CI/CD process to prevent recurrence.
Built a reusable Swift framework that makes native applications agent-operable through JSON-RPC over HTTP, authenticated loopback transport, and local discovery.