Graduate Research Assistant Link to heading

Under Prof. Jinoh Kim | East Texas A&M University | May 2025 – Present
(Started as volunteer; research assistantship from December 2025)

  • Engineered and working on ETL pipeline leveraging LSTM, GRU, and Transformer models for GPS spoofing detection, improving binary classification accuracy
  • Orchestrated integration of Weights & Biases to streamline hyperparameter optimization across LSTM, GRU and Transformer models, trimming model training time

Graduate Teaching Assistant Link to heading

Department of Computer Science, East Texas A&M University - Commerce, TX | Aug 2025 – Dec 2025

  • Assisted in courses covering System Design, Database Systems and Enterprise Architecture, mentoring and helping students on building scalable system design, database design, distributed architecture, and cloud integration
  • Supported classroom operations including test proctoring, grading, and lab demonstrations

Graduate Assistant - Data Analyst Link to heading

Institutional Research, East Texas A&M University - Commerce, TX | Jan 2025 - Aug 2025

  • Assisted in retrieving and compiling requested data from databases to support departmental needs
  • Supported research projects by gathering and processing institutional data under guidance from the IR team
  • Contributed to dashboard development using WebFOCUS, working closely with senior team members
  • Ensured data integrity and accuracy while learning best practices from experienced colleagues and supervisors
  • Assisted in data organization, analysis, and reporting for various department-level projects
  • Built a custom theme for the BI portal/dashboard using HTML, CSS, and the built-in WebFOCUS library, enhancing user experience and aligning with institutional branding

Software Engineer in Test Link to heading

ZenLedger Inc | https://zenledger.io

  • Led the transition from manual QA to a fully automated testing platform, reducing manual testing effort by 50%, increasing regression coverage by 30%, and enabling more features to reach production safely and faster
  • Built CI/CD release guardrails using GitHub Actions with Dev → QA → Prod quality gates and priority-based test execution, significantly reducing production defects and improving customer satisfaction through faster, more reliable releases
  • Accelerated defect detection by 40% (1–2 days per sprint) by implementing an API-first testing strategy, followed by UI, mobile, and cross-browser automation to support rapid feature delivery
  • Engineered a comprehensive monitoring solution by connecting Cypress tests to Datadog CI Visibility, facilitating faster incident resolution and improving application stability by 15%
  • Increased team productivity by 35% by mentoring engineers on automation best practices such as TDD/BDD, reusable test frameworks, and sprint testing, embedding quality early in the SDLC and reducing release risk at scale