Experience

  • Jun 2025 — Present

    Stripe

    Seattle, WA

    Software Engineer - Core Infrastructure

    • Led incident remediation that reduced destructive cloud-infrastructure incidents by 50% by surfacing Terraform summaries on every GitHub PR at Stripe, enabling early detection of unsafe changes and preventing rollbacks
    • Designed and developed a company-wide Terraform deployment framework used by 3,500 engineers that groups roots into packages and runs autodeploys with health checks estimated to save 60 engineering hours per week
    • Orchestrated migration of all 9,000 Terraform roots across Stripe into the new autodeploy system
  • Jun 2024 — Aug 2024

    Capital One

    McLean, VA

    Software Engineer Intern - Back-end

    • Optimized build efficiency by 75% (from 1 hour to 15 mins) by parallelizing a sequentially running application with AWS Lambda and SQS, utilizing multi-threading techniques to distribute tasks across multiple threads
    • Reduced infrastructure costs by 15% ($12K monthly) by architecting migration from AWS EC2 Docker containers to AWS Fargate, eliminating idle compute time and enabling auto-scaling for 8 microservices
  • Aug 2023 — May 2024

    University of Michigan College of Engineering

    Ann Arbor, MI

    Teaching Assistant - Computer Architecture

    • Led weekly labs for 30 students on computer architecture topics like ARM assembly, pipelining, virtual memory and caching, while also providing office hours and managing the course website for a class of 600+ students
  • May 2023 — Aug 2023

    General Motors Financial

    Detroit, MI

    Software Developer Intern - ETL & Data Integration

    • Developed and launched 5 end-to-end ETL workflows in an agile setting using IBM Datastage and Oracle SQL, integrating data warehousing principles to process over 1 million records for Business Intelligence analytics
    • Spearheaded Databricks projects using Python scripting to transform, export data into XML, and automate XML-to-CSV conversions, enhancing data exchange efficiency by 25% and saving 15+ hours a week
  • May 2022 — Apr 2023

    nSpire.ai

    San Francisco, CA

    Software Engineer Intern - Machine Learning & Back-end

    • Implemented and integrated 5+ key product features including Text Summarization, Key-word Tagging and Face Emotion Recognition into the Django back-end infrastructure, enhancing product capabilities
    • Contributed to the design and population of the 7-stage data analytics pipeline with Amazon Redshift and AWS Lambda enabling detailed monitoring of user metadata and interactions