Experience

Work Experience

Software Engineer II @ Deloitte Tax LLP

Dallas, TXJul 2024 - Present

  • Software Engineer for the Internet Partnership Allocation and Compliance System (iPACS™) K1A Investor tax solution for investment firms.
  • Used ASP.NET Core, SQL Server, Angular to provide CI/CD software development through maintenance and bug fixes.
  • Pioneered automated testing by implementing Tricentis Tosca for end-to-end frontend validation and xUnit for unit tests, establishing the project's first test automation framework from scratch to improve coverage and reduce regressions.
  • Utilized Azure DevOps to deploy pipeline releases for continuous build developments to the iPACS software.
  • Selected as an Onboarding Advisor to guide new hires and interns through their first 3 months, delivering structured mentorship, resource navigation, and recurring check-ins to accelerate ramp-up and team integration.

Software Engineer Intern @ Charles Schwab

Jersey City, NJJun 2023 - Aug 2023

  • Independently designed, programmed, and rigorously tested a Java application to strengthen security measures for a leading vendor collaborating with Schwab, resulting in a 23% increase in zero-day vulnerability detection.
  • Developed RESTful API calls to efficiently retrieve security-related data and execute commands through a command-line interface (CLI), resulting in a 30% reduction in backend dependency.
  • Implemented an algorithm for data pre-processing and the selection of important data fields, increased the data quality by 25%, and streamlined the seamless transmission of Points of Interest (POI) data to a Confluence server dashboard.

IT Intern @ Brown & Brown Insurance Inc.

Daytona Beach, FLJun 2022 - Aug 2022

  • Architected and deployed a web application, using JavaScript, Articulate Storyline, and Adobe Illustrator within an Agile framework, to automate the new hire onboarding process of 3k employees per year.
  • Engineered SQL queries in conjunction with PowerBI to analyze and extract valuable business insights from complex datasets, resulting in an 18% increase in operational efficiency through data automation.