At JPMorgan Chase, I keep the Global Instrument Model reliable as it processes millions of Bloomberg events during market volatility. I built a Python capacity-forecasting model and helped establish SLI/SLO reporting across GIM services.
I also designed phased zero-downtime deployments and built an MCP-based AI shift-handover workflow that saves about 352 hours per year per team. Across banking and retail platforms, I’ve worked on distributed services, Kubernetes deployments, observability, and production automation.
