NHAN
NGUYEN

Card Product Launch — internal catalog tool for marketing

• Built an internal Card Product Launch platform a single source of truth for every JPMorgan Chase consumer card where marketing teams search card designs, view metadata, and manage inventory using React, TypeScript, Redux/Redux-Saga for state and side-effect handling, and TanStack Query/Table for data fetching and a fast, data-dense UI.
• Translated Figma prototypes into pixel-accurate React views, implementing shared design tokens, animations, and styling for consistent UX.
• Designed and built Java/Spring Boot REST APIs and PostgreSQL schemas to serve card data and power inventory management.
• Provisioned and integrated the supporting AWS stack (EC2, RDS, S3, Lambda), wiring event-driven Lambda jobs and managed databases into the application.
• Containerized Spring Boot services with Docker and wired them into CI/CD pipelines (Jenkins/CircleCI) so local, CI, and production environments shared identical runtime behavior.

Rewards Earning — credit card points & rewards

• Built points-earning and rewards systems for JPMorgan Chase credit cards, implementing earning rules, point accrual, and reward-tier logic end to end across React/TypeScript frontends (Redux/Redux-Saga for complex client state and async flows) and Spring Boot services backed by PostgreSQL.
• Shipped changes through automated CI/CD pipelines with Docker-based builds, and collaborated with upstream/downstream teams to define API contracts and resolve cross-service integration issues.
• Owned the full code-to-production workflow: pushed feature branches that triggered automated builds and test suites on the team's CI test platform, reviewed pass/fail results, and verified deployments through Jenkins pipelines across environments.
• Packaged Spring Boot services into Docker images promoted through the CI/CD pipeline, keeping local, CI, and production environments consistent and cutting environment-drift issues.
• Diagnosed and resolved build and deployment failures across the pipeline, using Jenkins logs and the CI test platform to catch regressions before they reached production.