Contributed to high-throughput feed infrastructure processing 50M+ daily user events. Built and optimized Python-based event ingestion services, reducing end-to-end latency by 34%. Developed Elixir microservices using OTP supervision patterns to improve fault isolation and async workflow reliability. Reduced duplicate engagement events by 76% through idempotent Kafka consumer design. Integrated real-time personalization signals into feed APIs while maintaining sub-250ms SLA. Refactored legacy Ruby services, lowering p99 latency by 29%. Improved observability (structured logging + tracing), reducing MTTD by 41%. Optimized PostgreSQL query plans and indexing, decreasing heavy-read latency by 38%. Built internal React dashboards for feed ranking diagnostics. Supported multi-region deployments achieving 99.99% availability.

Improved event ingestion throughput by 3.8x using Elixir concurrency primitives. Reduced alert processing latency by 46% during peak traffic. Decreased duplicate event handling by 78% through idempotent Python and Elixir consumers. Improved observability coverage from ~50% to 95% across critical pipelines. Reduced mean incident resolution time by 43%. Created a web performance roadmap, prioritized by complexity and likely impact. Completed the initial roadmap and left the client with a prioritized list of nice-to-have follow-ups.

Reduced API response latency by 53% through async processing and query optimization. Increased daily processed events from 15M to 42M without linear infra growth. Reduced p99 latency by 34% during high-traffic periods. Improved frontend responsiveness by 39% through React performance tuning. Reduced deployment rollback incidents by 58%.

Increased API throughput by 2.7x after refactoring blocking services into concurrent Elixir processes. Lowered infrastructure costs by 22% by optimizing connection pooling and process lifecycles. Improved deployment reliability, reducing rollback events by 60%. Reduced batch processing time by 40% through background job optimization. Improved page load times by 36% via frontend refactors. Aided the team in following test-driven development (TDD) practices, increasing team performance. Reduced manual operational work by 30% through automation. Improved deployment reliability, reducing rollback events by 60%.