I've built automated QA and debugging workflows for Jabil, Relynk IT, and Virtusa, spanning production systems, real estate applications, and enterprise banking platforms.
At Jabil, I diagnosed 200+ production incidents, reduced mean time to resolution by 35%, and lowered defect recurrence by 40% through root cause analysis and preventive actions. I also developed Python- and SQL-based test automation scripts that improved team efficiency by 30%.
At Relynk IT, I automated 70+ functional and regression test cases using Selenium WebDriver, Java, and the Page Object Model, expanding critical-workflow regression coverage to approximately 75%. I validated REST APIs with Postman, verified database workflows through SQL, and tracked 100+ defects in Jira.
I'm also building AI-powered products and data systems, including ResQFood AI, a food-rescue decision platform, and Memory Weaver, a semantic-search personal knowledge assistant. I use Claude, ChatGPT, Python, SQL, machine learning, and LLM workflows to optimize testing, generate data, debug systems, and turn complex information into actionable results.
