• Collaborated with product managers, designers, and engineers on migrating team management from Spotify for Artists to Spotify Manage by redesigning authorization and role-mapping logic to correctly provision migrated users and teams within Manage’s RBAC framework, exposing gRPC APIs to support new invite flows and team provisioning, enforcing cross-service data consistency, schema validation for org/team records and building new React/Next.js pages alongside UAT testing to resolve defects, ensuring a seamless transition for more than 5 million creator organizations

• On Spotify's Authorization Team (IAM), Lockness, I developed and deployed a scalable full-stack authorization platform by implementing multiple gRPC APIs in Java with PostgreSQL-backed data models, integrating microservices, managing secure API gateway, and building a React/Next.js frontend, enabling 50,000+ internal organizations (including Spotify for Artists, Creators, Podcasters, etc.) to self-provision authorization products with automated RBAC, permission templating, and onboarding workflows

• Engineered a high-performance, gRPC-driven multi-layer API architecture with async CompletionStage processing, type-safe Jackson serialization, ACID-compliant MySQL/PostgreSQL transactions via JDBI, and real-time event publishing, while building a production-grade testing framework with JUnit 5, Mockito, and Testcontainers (Dockerized DBs, PubSub emulators, parallelized execution), ensuring sub-100 ms response times and production-ready reliability in a distributed system

• Engineered a Python-based program to create dynamic user interfaces for tracking Covid-19 across 40 states and counties in the U.S.

• Utilized Tableau and PostgreSQL to efficiently manage and retrieve hundreds of thousands of data points, facilitating accurate and detailed graphical analyses.

• Automated data analysis processes, encompassing 90% of the U.S. population and 4% of the global population.