Payment processing went down at 2 AM on a Friday during a flash sale event. Revenue loss estimated at $10K/hour.
Diagnose the root cause and restore service while coordinating with the on-call team and keeping stakeholders informed.
Traced the issue to a database connection pool exhaustion caused by a long-running background job that had been deployed earlier that day. Killed the runaway process, increased the pool temporarily...
Service restored in 22 minutes. Implemented connection pool monitoring and background job guardrails to prevent recurrence. Wrote a post-mortem that led to improved deploy-time testing for backgrou...
Incident Response, PostgreSQL, Debugging, Communication
Incident
Led Cross-Team Migration to Microservices
The monolithic Rails app was becoming a deployment bottleneck — 45-minute deploy cycles and frequent merge conflicts across 4 teams.
Lead the architectural planning and first phase of extracting the billing domain into a standalone service.
Facilitated architecture review sessions, defined service boundaries using domain-driven design principles, built the billing service with a clear API contract, and implemented an event-driven inte...
Billing service deployed independently with 5-minute cycles. Zero billing-related deploy conflicts after extraction. Pattern became the template for 3 subsequent service extractions.
System Design, Microservices, Leadership, Domain-Driven Design
Architecture
Reduced API Response Time by 60%
Our main API endpoint was averaging 800ms response times, causing timeouts for mobile clients and complaints from the sales team during demos.
I was tasked with identifying the bottleneck and bringing response times under 300ms without a full rewrite.
Profiled the request lifecycle using rack-mini-profiler, identified N+1 queries and unnecessary serialization. Implemented eager loading, added Redis caching for frequently accessed data, and intro...
Response times dropped to 320ms (60% improvement). Mobile timeout errors fell to near-zero. The sales team specifically called out the improvement in their next QBR.
Performance Optimization, Ruby on Rails, Redis, SQL