Professional Summary

Software Developer

Innovative Software Developer with strong full-stack and cloud infrastructure expertise, focused on building scalable, high-impact dashboarding and AI-enabled products. Experienced in Next.js, FastAPI, PostgreSQL, BigQuery, Auth0 SSO, Terraform, and CI/CD with GitHub Actions across AWS and GCP environments.

Next.jsFastAPIBigQueryTerraform
Jerry Liu portrait

Technical Skills

Languages & Tools

Java, JavaScript, TypeScript, Python, Groovy, Linux, Docker, Jenkins, Git, Cursor

Frameworks & Front-end

React.js, Next.js, Nest.js, FastAPI, Spring Boot, Angular

Databases & Analytics

PostgreSQL, MySQL, MongoDB, DynamoDB, Redis, GCP BigQuery

Cloud & DevOps

AWS (Lambda, EC2, ECS, RDS, SQS, SNS, Step Functions, VPC), GCP (Cloud Run, Google Batch, BigQuery), Terraform, GitHub Actions, CI/CD

Security & Platform Integration

  • Identity: Auth0, SSO, OAuth2, JWT
  • ML / Analytics Workflows: ETL, batch orchestration, large-scale data pipelines, AI-assisted development

Experience

Intermediate Software Developer @ Beatdapp

Dec 2023 - Present

  • Architected and delivered 5+ enterprise dashboard applications for SoundExchange, MLC, and Roc Nation, using Next.js front-end with PostgreSQL and BigQuery back-end, deployed on GCP Cloud Run with GitHub Actions CI/CD.
  • Designed a centralized Auth0 SSO layer for secure multi-tenant access across client dashboards, reducing onboarding time by 60%.
  • Built detailed analytics dashboards over terabytes of streaming data in BigQuery, enabling near-real-time anomaly and fraud insights while improving performance with Redis caching (45% faster load times).
  • Led full infrastructure setup via Terraform: Cloud Run services, auto-scaling GKE where required, BigQuery datasets, IAM roles, and network configuration, enabling deployments in under 2 minutes across environments.
  • Integrated AI-powered tooling (Cursor) plus design workflows (Figma + MCP), improving time-to-first-prototype by around 30% and increasing design-to-implementation parity.
  • Developed the Atlas Job Manager REST API backend (FastAPI/Python) to dispatch Google Batch scripts, monitor job status, aggregate outputs, and expose job states to UI dashboards, handling around 20 ML batch jobs per workflow.
  • Tech stack included Next.js, React, Nest.js, FastAPI, PostgreSQL, BigQuery, Redis, GCP Cloud Run, Google Batch, Terraform, GitHub Actions, Auth0, and Cursor.

Software Development Engineer @ Amazon

Sep 2022 - Dec 2023

  • Prime-Sharing Program: Led development of Prime Invitee email and frontend components, improving experience for 1M+ U.S. users and increasing program acceptance by 20%.
  • Prime-Central -> Membership Central Migration: Delivered backend logic using MVC and re-architected services with zero downtime while reducing latency through optimized exception handling.
  • Customer-Context API: Designed and launched the Customer-Context API for Membership Profile Service, achieving around 80% latency reduction by tuning Lambda concurrency and runtime.
  • JourneyDataProvider: Built a customer data-consent solution across 20+ countries with 4 cross-functional teams, improving customer acceptance by 20%.
  • Worked across Java and JavaScript services with AWS Lambda, EC2/ECS, DynamoDB, and MySQL, balancing reliability and performance at large scale.

Software Developer @ CARFAX US

May 2020 - Sep 2021

  • Designed and implemented a bad-actor classification algorithm, identifying over 30 fraudulent dealer accounts monthly and preventing major financial losses.
  • Engineered and deployed an automated dealer review service to staging and production environments, delivering savings of around $5,000 per dealer.
  • Built a Spring Boot microservice to retrieve inventory data, compute metrics, and generate reports using Spring Batch, improving internal reporting efficiency.
  • Enhanced workflow automation by integrating AWS SNS Topics and deploying via AWS Lambda for scalable operations.
  • Implemented unit and integration testing with Groovy and integrated SonarQube, improving release quality with team-wide code coverage above 70%.
  • Tech stack included Java, Groovy, Spring Boot, AWS Lambda, SNS, MySQL, and SonarQube.

Contact

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