Work History

Built and launched a full end-to-end internal company-wide tool using Python and React to automate email scraping, cutting manual effort by 90% and improving data accuracy by 95%

Architected full-stack infrastructure, email ingestion, backend APIs, and React frontend using containerized services, ensuring scalable and low-maintenance performance in production

Designed intuitive UIs for non-technical users, enabling real-time filtering, exporting, and QA, saving 20+ hours per week across multiple teams

Shipped QA logging and alerting tools to track scraping failures, streamlining debugging and increasing system visibility on Linux-based environments

Collaborated with product, marketing, and engineering in an Agile environment to define workflows, gather user feedback, and iterate on key features aligned with the product lifecycle

Designed and implemented automated test coverage for critical scraping and export workflows, accelerating Agile sprint QA and reducing production bugs by 40%

Guided 150+ students through full stack projects in JavaScript, React, Python and PostgreSQL

Conducted daily code reviews and system design sessions

Mentored students in 1-on-1 and group settings for 20 hours/week

Provided guidance on best practices and problem-solving strategies

Assisted in curriculum development and improvement