Lead engineering squad of 8 engineers delivering enterprise cloud data visualization and real-time processing platforms.

• Architected Next.js and Go microservices handling 120M+ daily events with sub-80ms p99 latency across multi-region clusters.
• Mentored 6 junior/mid-level engineers, instituted automated PR reviews, and drove team test coverage from 62% to 91%.
• Spearheaded automated Kubernetes container scaling, reducing AWS infrastructure expenditure by $180,000 annually.
• Collaborated directly with product and design to launch a real-time analytics dashboard used by 45,000+ business customers.

Key contributor to core SaaS subscription billing engine and customer analytics pipelines.

• Engineered event-driven transaction processing pipeline using Apache Kafka, TypeScript, and PostgreSQL with zero data loss.
• Reduced web bundle size by 48% and optimized Largest Contentful Paint (LCP) from 3.8s to 1.1s, directly improving conversion by 18%.
• Implemented OAuth 2.0 and SAML SSO integrations for Fortune 500 enterprise customers, unblocking $2.4M in enterprise ARR.

Full stack development on customer-facing dashboards and RESTful API integrations.

• Developed interactive analytics components using React, Redux, and D3.js with high cross-browser responsiveness.
• Maintained 99.98% API service uptime and authored comprehensive OpenAPI/Swagger technical documentation.

Coursework: Distributed Systems, Algorithms & Complexity, Database Management, Operating Systems, Machine Learning.

High-performance distributed WebSocket streaming server with pluggable storage backends.

• Achieved 100k concurrent active connections on a single c5.xlarge AWS EC2 instance.
• Gained 1,800+ GitHub stars with active open-source contributor ecosystem.

Lightweight privacy-focused client telemetry and performance monitoring toolkit.

• Processed over 10 million telemetry events with sub-second aggregate query times.

Delivered technical presentation to 800+ attendees on distributed cache invalidation strategies.