At Poshmark, I build and scale backend services for high-traffic e-commerce workflows, including support, seller compliance, moderation, listings, and personalized feeds. I engineered a Java Spring Boot support microservice that reduced monolithic coupling by 40% and implemented an AI-powered chatbot that automated over 25% of common support queries.
I've led large-scale backend initiatives, from migrating 800+ legacy Rails APIs to pure Ruby to building bulk listing systems that enable sellers to create 10K+ listings through CSV/XLS processing. My work has improved data synchronization reliability, reduced issue resolution time by 32%, saved operational teams 18 hours per week, and increased daily user engagement by 14%.
Earlier at American Express, I built distributed ETL pipelines and optimized Hive queries for credit and commercial risk data. I work across Java, Ruby on Rails, AWS, MySQL, Elasticsearch, REST APIs, CI/CD, and distributed systems.
