Sunil Varma

About Sunil Varma

I am a dedicated and results-oriented Software Engineer with a solid academic foundation. I hold a Bachelor’s degree in Computer Science and Master’s in Information Technology at the University of North Carolina at Charlotte, maintaining a GPA of 3.9/4. My academic journey reflects my passion for technology, innovation, and problem-solving, with highlights such as designing AI-based chatbots and predictive data models that improve system efficiency. With over 5 years of professional experience, I’ve had the opportunity to design and develop high-performing web applications across industries. At Cybage Software, I specialized in creating dynamic and scalable solutions using React, Node.js, and SQL. My achievements include optimizing CI/CD pipelines to eliminate 70% of manual processes and enhancing application performance by 40% through efficient database management. Beyond work, I’ve contributed to impactful projects like an e-commerce automation framework and a budget management app, showcasing my ability to combine technical expertise with creative problem-solving. Looking ahead, I aim to expand my knowledge of cutting-edge technologies like AI, machine learning, and cloud computing to drive innovation and deliver impactful business outcomes. I’m passionate about collaborating with teams that value creativity, efficiency, and growth. If you’re looking for a forward-thinking engineer to help solve complex challenges, let’s connect!

Experience

1. Quality Assurance Automation Engineer

   Rebecca Everlene Trust Company

   Feb 2025 — Present · US

   Leveraged Generative AI models to accelerate test design by auto-generating test cases, test data, test plans, and automation scripts for both UI (Selenium, Playwright) and API (Rest-Assured), reducing manual authoring time by over 40%.Integrated GitHub Copilot and other GenAI plugins into development and testing workflows to auto-suggest framework code snippets (TestNG, Cucumber, Pytest), identify code defects in real-time, and improve overall code quality and coverage.Utilized LLM-based tools to automatically produce SQL queries and validate database integrity across test scenarios, boosting productivity and reducing back-and-forth with data engineers.Explored and configured LLMs to work in offline mode for security-compliant environments, ensuring QA workflows remain AI-enabled even in restricted setups.Enabled plain-English to automation command execution using AI agents to carry out browser-based functional tests, showcasing next-gen capabilities in human-readable test instruction interpretation.Embedded AI agents into existing test automation frameworks, allowing natural language-driven test executions and real-time script generation aligned with agile QA needs.Evaluated and utilized emerging AI-powered testing tools (like testRigor, Functionize, Testim) that integrate GenAI with AI Agents, significantly enhancing end-to-end testing workflows and reducing QA cycles.

Education

• University of North Carolina at Charlotte

  Master of Science - MS

  2023 — 2024

• MLR Institute of Technology

  Bachelor of Technology - BTech

  2016 — 2020