• •Led a 4-person team that shipped a PCI-compliant checkout, lifting conversion by 12%.
• •Cut API latency by 42% by redesigning hot queries and adding a Redis cache layer.
• •Introduced CI/CD with GitHub Actions, reducing release time from 2 days to 3 hours.

• •Built REST APIs serving 1.2M requests per day with Node.js and PostgreSQL.
• •Raised test coverage from 35% to 82% with Jest and Cypress.

Open-source double-entry accounting library used by 400+ projects.

University of Texas at Austin

Amazon Web Services

• •Led a 4-person team that shipped a PCI-compliant checkout, lifting conversion by 12%.
• •Cut API latency by 42% by redesigning hot queries and adding a Redis cache layer.
• •Introduced CI/CD with GitHub Actions, reducing release time from 2 days to 3 hours.

• •Built REST APIs serving 1.2M requests per day with Node.js and PostgreSQL.
• •Raised test coverage from 35% to 82% with Jest and Cypress.

Open-source double-entry accounting library used by 400+ projects.

University of Texas at Austin

Amazon Web Services

• •Led a 4-person team that shipped a PCI-compliant checkout, lifting conversion by 12%.
• •Cut API latency by 42% by redesigning hot queries and adding a Redis cache layer.
• •Introduced CI/CD with GitHub Actions, reducing release time from 2 days to 3 hours.

• •Built REST APIs serving 1.2M requests per day with Node.js and PostgreSQL.
• •Raised test coverage from 35% to 82% with Jest and Cypress.

Open-source double-entry accounting library used by 400+ projects.

University of Texas at Austin

Amazon Web Services

• •Led a 4-person team that shipped a PCI-compliant checkout, lifting conversion by 12%.
• •Cut API latency by 42% by redesigning hot queries and adding a Redis cache layer.
• •Introduced CI/CD with GitHub Actions, reducing release time from 2 days to 3 hours.

• •Built REST APIs serving 1.2M requests per day with Node.js and PostgreSQL.
• •Raised test coverage from 35% to 82% with Jest and Cypress.

Open-source double-entry accounting library used by 400+ projects.

University of Texas at Austin

Amazon Web Services

• •Led a 4-person team that shipped a PCI-compliant checkout, lifting conversion by 12%.
• •Cut API latency by 42% by redesigning hot queries and adding a Redis cache layer.
• •Introduced CI/CD with GitHub Actions, reducing release time from 2 days to 3 hours.

• •Built REST APIs serving 1.2M requests per day with Node.js and PostgreSQL.
• •Raised test coverage from 35% to 82% with Jest and Cypress.

Open-source double-entry accounting library used by 400+ projects.

University of Texas at Austin

Amazon Web Services

• •Led a 4-person team that shipped a PCI-compliant checkout, lifting conversion by 12%.
• •Cut API latency by 42% by redesigning hot queries and adding a Redis cache layer.
• •Introduced CI/CD with GitHub Actions, reducing release time from 2 days to 3 hours.

• •Built REST APIs serving 1.2M requests per day with Node.js and PostgreSQL.
• •Raised test coverage from 35% to 82% with Jest and Cypress.

Open-source double-entry accounting library used by 400+ projects.

University of Texas at Austin

Amazon Web Services

• •Led a 4-person team that shipped a PCI-compliant checkout, lifting conversion by 12%.
• •Cut API latency by 42% by redesigning hot queries and adding a Redis cache layer.
• •Introduced CI/CD with GitHub Actions, reducing release time from 2 days to 3 hours.

• •Built REST APIs serving 1.2M requests per day with Node.js and PostgreSQL.
• •Raised test coverage from 35% to 82% with Jest and Cypress.

Open-source double-entry accounting library used by 400+ projects.

University of Texas at Austin

Amazon Web Services

• •Led a 4-person team that shipped a PCI-compliant checkout, lifting conversion by 12%.
• •Cut API latency by 42% by redesigning hot queries and adding a Redis cache layer.
• •Introduced CI/CD with GitHub Actions, reducing release time from 2 days to 3 hours.

• •Built REST APIs serving 1.2M requests per day with Node.js and PostgreSQL.
• •Raised test coverage from 35% to 82% with Jest and Cypress.

Open-source double-entry accounting library used by 400+ projects.

University of Texas at Austin

Amazon Web Services

• •Led a 4-person team that shipped a PCI-compliant checkout, lifting conversion by 12%.
• •Cut API latency by 42% by redesigning hot queries and adding a Redis cache layer.
• •Introduced CI/CD with GitHub Actions, reducing release time from 2 days to 3 hours.

• •Built REST APIs serving 1.2M requests per day with Node.js and PostgreSQL.
• •Raised test coverage from 35% to 82% with Jest and Cypress.

Open-source double-entry accounting library used by 400+ projects.

University of Texas at Austin

Amazon Web Services

• •Led a 4-person team that shipped a PCI-compliant checkout, lifting conversion by 12%.
• •Cut API latency by 42% by redesigning hot queries and adding a Redis cache layer.
• •Introduced CI/CD with GitHub Actions, reducing release time from 2 days to 3 hours.

• •Built REST APIs serving 1.2M requests per day with Node.js and PostgreSQL.
• •Raised test coverage from 35% to 82% with Jest and Cypress.

Open-source double-entry accounting library used by 400+ projects.

University of Texas at Austin

Amazon Web Services

• •Led a 4-person team that shipped a PCI-compliant checkout, lifting conversion by 12%.
• •Cut API latency by 42% by redesigning hot queries and adding a Redis cache layer.
• •Introduced CI/CD with GitHub Actions, reducing release time from 2 days to 3 hours.

• •Built REST APIs serving 1.2M requests per day with Node.js and PostgreSQL.
• •Raised test coverage from 35% to 82% with Jest and Cypress.

Open-source double-entry accounting library used by 400+ projects.

University of Texas at Austin

Amazon Web Services

• •Led a 4-person team that shipped a PCI-compliant checkout, lifting conversion by 12%.
• •Cut API latency by 42% by redesigning hot queries and adding a Redis cache layer.
• •Introduced CI/CD with GitHub Actions, reducing release time from 2 days to 3 hours.

• •Built REST APIs serving 1.2M requests per day with Node.js and PostgreSQL.
• •Raised test coverage from 35% to 82% with Jest and Cypress.

Open-source double-entry accounting library used by 400+ projects.

University of Texas at Austin

Amazon Web Services

• •Led a 4-person team that shipped a PCI-compliant checkout, lifting conversion by 12%.
• •Cut API latency by 42% by redesigning hot queries and adding a Redis cache layer.
• •Introduced CI/CD with GitHub Actions, reducing release time from 2 days to 3 hours.

• •Built REST APIs serving 1.2M requests per day with Node.js and PostgreSQL.
• •Raised test coverage from 35% to 82% with Jest and Cypress.

Open-source double-entry accounting library used by 400+ projects.

University of Texas at Austin

Amazon Web Services

• •Led a 4-person team that shipped a PCI-compliant checkout, lifting conversion by 12%.
• •Cut API latency by 42% by redesigning hot queries and adding a Redis cache layer.
• •Introduced CI/CD with GitHub Actions, reducing release time from 2 days to 3 hours.

• •Built REST APIs serving 1.2M requests per day with Node.js and PostgreSQL.
• •Raised test coverage from 35% to 82% with Jest and Cypress.

Open-source double-entry accounting library used by 400+ projects.

University of Texas at Austin

Amazon Web Services

• •Led a 4-person team that shipped a PCI-compliant checkout, lifting conversion by 12%.
• •Cut API latency by 42% by redesigning hot queries and adding a Redis cache layer.
• •Introduced CI/CD with GitHub Actions, reducing release time from 2 days to 3 hours.

• •Built REST APIs serving 1.2M requests per day with Node.js and PostgreSQL.
• •Raised test coverage from 35% to 82% with Jest and Cypress.

Open-source double-entry accounting library used by 400+ projects.

University of Texas at Austin

Amazon Web Services

• •Led a 4-person team that shipped a PCI-compliant checkout, lifting conversion by 12%.
• •Cut API latency by 42% by redesigning hot queries and adding a Redis cache layer.
• •Introduced CI/CD with GitHub Actions, reducing release time from 2 days to 3 hours.

• •Built REST APIs serving 1.2M requests per day with Node.js and PostgreSQL.
• •Raised test coverage from 35% to 82% with Jest and Cypress.

Open-source double-entry accounting library used by 400+ projects.

University of Texas at Austin

Amazon Web Services

• •Led a 4-person team that shipped a PCI-compliant checkout, lifting conversion by 12%.
• •Cut API latency by 42% by redesigning hot queries and adding a Redis cache layer.
• •Introduced CI/CD with GitHub Actions, reducing release time from 2 days to 3 hours.

• •Built REST APIs serving 1.2M requests per day with Node.js and PostgreSQL.
• •Raised test coverage from 35% to 82% with Jest and Cypress.

Open-source double-entry accounting library used by 400+ projects.

University of Texas at Austin

Amazon Web Services

• •Led a 4-person team that shipped a PCI-compliant checkout, lifting conversion by 12%.
• •Cut API latency by 42% by redesigning hot queries and adding a Redis cache layer.
• •Introduced CI/CD with GitHub Actions, reducing release time from 2 days to 3 hours.

• •Built REST APIs serving 1.2M requests per day with Node.js and PostgreSQL.
• •Raised test coverage from 35% to 82% with Jest and Cypress.

Open-source double-entry accounting library used by 400+ projects.

University of Texas at Austin

Amazon Web Services

• •Led a 4-person team that shipped a PCI-compliant checkout, lifting conversion by 12%.
• •Cut API latency by 42% by redesigning hot queries and adding a Redis cache layer.
• •Introduced CI/CD with GitHub Actions, reducing release time from 2 days to 3 hours.

• •Built REST APIs serving 1.2M requests per day with Node.js and PostgreSQL.
• •Raised test coverage from 35% to 82% with Jest and Cypress.

Open-source double-entry accounting library used by 400+ projects.

University of Texas at Austin

Amazon Web Services

• •Led a 4-person team that shipped a PCI-compliant checkout, lifting conversion by 12%.
• •Cut API latency by 42% by redesigning hot queries and adding a Redis cache layer.
• •Introduced CI/CD with GitHub Actions, reducing release time from 2 days to 3 hours.

• •Built REST APIs serving 1.2M requests per day with Node.js and PostgreSQL.
• •Raised test coverage from 35% to 82% with Jest and Cypress.

Open-source double-entry accounting library used by 400+ projects.

University of Texas at Austin

Amazon Web Services

• •Led a 4-person team that shipped a PCI-compliant checkout, lifting conversion by 12%.
• •Cut API latency by 42% by redesigning hot queries and adding a Redis cache layer.
• •Introduced CI/CD with GitHub Actions, reducing release time from 2 days to 3 hours.

• •Built REST APIs serving 1.2M requests per day with Node.js and PostgreSQL.
• •Raised test coverage from 35% to 82% with Jest and Cypress.

Open-source double-entry accounting library used by 400+ projects.

University of Texas at Austin

Amazon Web Services

• •Led a 4-person team that shipped a PCI-compliant checkout, lifting conversion by 12%.
• •Cut API latency by 42% by redesigning hot queries and adding a Redis cache layer.
• •Introduced CI/CD with GitHub Actions, reducing release time from 2 days to 3 hours.

• •Built REST APIs serving 1.2M requests per day with Node.js and PostgreSQL.
• •Raised test coverage from 35% to 82% with Jest and Cypress.

Open-source double-entry accounting library used by 400+ projects.

University of Texas at Austin

Amazon Web Services

• •Led a 4-person team that shipped a PCI-compliant checkout, lifting conversion by 12%.
• •Cut API latency by 42% by redesigning hot queries and adding a Redis cache layer.
• •Introduced CI/CD with GitHub Actions, reducing release time from 2 days to 3 hours.

• •Built REST APIs serving 1.2M requests per day with Node.js and PostgreSQL.
• •Raised test coverage from 35% to 82% with Jest and Cypress.

Open-source double-entry accounting library used by 400+ projects.

University of Texas at Austin

Amazon Web Services

• •Led a 4-person team that shipped a PCI-compliant checkout, lifting conversion by 12%.
• •Cut API latency by 42% by redesigning hot queries and adding a Redis cache layer.
• •Introduced CI/CD with GitHub Actions, reducing release time from 2 days to 3 hours.

• •Built REST APIs serving 1.2M requests per day with Node.js and PostgreSQL.
• •Raised test coverage from 35% to 82% with Jest and Cypress.

Open-source double-entry accounting library used by 400+ projects.

University of Texas at Austin

Amazon Web Services