Alexsandra Gao

About Alexsandra Gao

I’m a software engineer with around four years of experience building and operating production systems across backend and platform engineering. Currently at Veeva, I work on DevOps and platform infrastructure—owning CI/CD pipelines, containerized deployments with Docker and Kubernetes, and infrastructure automation using AWS and Terraform. I’ve also led test infrastructure efforts, including scaling Selenium-based E2E testing for internal applications.Prior to that, I was at VMware, where I built distributed systems and network monitoring features in Python and Java that supported large-scale environments with over devices. Across my internship roles, I’ve focused on reliability, scalability, and improving developer productivity.I hold a B.A. in Mathematics and Computer Science from Columbia University, where I graduated in May 2022. I’m particularly interested in the intersection of Natural Language Processing (NLP) and Human-Computer Interaction (HCI), with the long-term goal of making technology more accessible for disabled individuals, especially in high-impact domains like drug discovery and cancer research.Outside of engineering, I enjoy baking, gymnastics, skating, and surfing. I’m always open to connecting and exchanging ideas, please feel free to reach out or send a message!

Experience

1. Devops Software Engineer

   Veeva Systems

   Oct 2025 — Present · Pleasanton, CA, US

   Veeva Labs Team• Managed deployment lifecycle for core service images, including artifact promotion across environments with AWS, Terraform, and Kubernetes, enhanced security posture and reduced deployment drift across clusters.• Maintained container image pipelines using Docker and Helm, ensuring apps rely on updated images.• Optimized CI/CD pipelines by refactoring GitLab CI YAML, replacing deprecated configurations for tasks.• Resolved dependency management issues by managing and unpinning versions for Python package builders.• Implemented dedicated jobs for building wheel artifacts, supporting faster and more consistent deployments.• Led the technical implementation of testing infrastructure for an internal LLM app using Selenium Grid and Pytest; improving test execution capacity and parallelization, improving test stability and E2E coverage to 70%.• Executing upgrades of core Selenium dependencies, ensuring compatibility with browser drivers and OS.

Education

• Binghamton University School of Management

  Bachelor's degree, Quantitiative Finance, Mathematics

  2018 — 2019

• Paul D. Schreiber Senior High School

  High School Diploma

  2014 — 2018

• Barnard College

  Bachelor's degree, Mathematics and Computer Science

• Columbia University

  Bachelor's degree, Mathematics and Computer Science