Resume

• Built a new-user onboarding flow (React, TypeScript, Rails backend) through multiple design iterations based on user feedback and A/B results, increasing new-user adoption by 30%.
• Designed and shipped a net-new content discovery microservice used across internal teams and external customers, averaging 6,000–7,000 daily impressions with peaks exceeding 15,000 uses in a single day. Wrote the design doc, coordinated with product and design, and owned end-to-end delivery.
• Automated on-call runbook scripts using Claude, cutting manual operational work across the team.

• Owned Olo's live Waitlist product from design doc through launch for a restaurant e-commerce platform serving 1,000+ locations. Drove a 30% increase in consumer waitlist reservations.
• Architected the infrastructure layer: Kubernetes HPA, Kafka event streaming, and Datadog monitoring on AWS across multi-region deployments handling hundreds of thousands of users.
• Integrated Stripe payment APIs for reservation billing flows, working cross-functionally with the payments team to ensure reliable transaction processing across 1,000+ locations.
• Ran LaunchDarkly feature flag experiments to test waitlist UX variants, analyzing results to drive product decisions and iterate on the consumer experience.
• Led PostgreSQL query optimization and Redis caching improvements, collaborating cross-functionally with product, design, and backend teams.

• Built Ads API endpoints (Java, TypeScript) for Spotify's self-serve Ad Studio, enabling advertisers to track conversions through pixel-based measurement on partner websites.
• Designed a real-time event pipeline (Kafka) processing thousands of ad impressions for analytics and conversion reporting.
• Established automated testing standards (JUnit + custom frameworks), hitting 100% coverage on critical ad-serving endpoints.
• Led internship recruiting and ran technical workshops, engaging 300+ students.

• Built an automated diagnostic tool that caught a recurring system failure pattern, saving $2M/year and eliminating manual engineering intervention entirely.
• Owned API endpoints (Python, Scala) integrated with GCP BigQuery, serving product metrics data for Twitter's advertising platform at scale.
• Cut on-call incidents by 60% through runbook documentation, PagerDuty alerting, and automated CI/CD pipelines.

• Mentored 25+ engineers-in-training through full-stack project delivery (Ruby, Rails, JavaScript, React), improving cohort completion rates.

Johns Hopkins University

M.S. in Computer Science (AI Concentration) · Starting 2026

University of Maryland Global Campus

B.S. Computer Science, With Honors

Flatiron School

Software Engineering Bootcamp