Los Angeles, California, United States
• Architected microservices backend supporting 50K+ active users across 5 civic technology projects using Python, Django, PostgreSQL, and RESTful APIs, enabling scalable service delivery for LA residents
• Accelerated code review time from 2 hours to 45 minutes per pull request by implementing modular architecture patterns and robust unit testing suite using PyTest
• Integrated LA Metro's real-time transit API with error handling and caching layer to manage inconsistent data formats and API downtime, contributing to 23% ridership increase among 30K+ users and $1.2M estimated emission reduction value
• Automated administrative processes saving 60+ hours monthly across 15-person team using AWS, enabling focus on core development work
• Implemented comprehensive testing strategy increasing code coverage from 40% to 97.6%, eliminating production bugs and minimizing hotfix deployment frequency from weekly to monthly
• Diagnosed and resolved critical Docker infrastructure failure affecting 15-person team, restoring uptime within 48 hours and preventing estimated $15K in lost productivity
• Contributed to 100+ GitHub commits, 5+ code pushes per week, and 5+ pull request reviews weekly across multiple Agile sprints