Built an end-to-end Android automation test .famework in Python with AI integration, significantly enhancing QA team productivity.

Created comprehensive test cases for NLU testing using LLM-based AI models, aligned with product requirements.

Developed an internal web application tool for developers and management to visualize test results effectively, facilitating the identification of underperforming components.

Write test plans and test cases based on product requirement documents and execute them and log defects

Lead a team to triage reported issues and file bug reports to ensure quick analysis/bug fixes from developers.

Develop robust automation testing frameworks using nodejs along with various libraries such as webdriverio (selenium webdriver), chai, mocha

Develop new testing techniques/methods and providing process improvement recommendations

Work closely with the data science team within an agile process to test the new features of the natural language system

Develop a testing tool using React/Redux to help test AI’s natural language classification

Participate in regression testing for new releases

Create a chrome extension to scrape web pages to filter out newly created tickets and update to google spreadsheets using the google api, reducing time spent on updating the google spreadsheet by 80%.