• Conducted research on assistive hearing devices, leveraging Python and AI techniques to enhance speech clarity, noise reduction, and personalized sound adaptation.

• Improved user experience by designing and implementing machine learning models to classify auditory environments and optimize device settings in real-time.

• Developed AI-driven solutions for health monitoring integration, including fall detection and wellness tracking, using predictive analytics and sensor data processing.

• Collaborated on innovative approaches combining natural language processing and signal processing to create accessible, adaptive auditory support systems.

• Annotated language data for social listening AI, ensuring high-quality data inputs.

• Designed and implemented internal data-labeling guidelines to improve consistency and accuracy.

• Developed semantic ontologies to enhance AI-driven insights.

• Optimized web scraping processes and structured data organization.

• Utilized SQL and Python to query, analyze, and pre-process linguistic datasets.

• Managed a team of 10, overseeing support for Google product, ensuring on-time and high-quality deliverables.

• Designed and implemented internal guidelines to improve team workflows and consistency.

• Developed project roadmaps and coordinated between cross-functional teams to streamline processes and meet client objectives.

• Provided cultural and linguistic expertise to resolve ambiguities and ensure accurate project execution.

• Delivered regular progress reports and performance metrics, exceeding client expectations for efficiency and accuracy.

• Developed and executed test plans for Google product focusing on functionality, integration, and user experience.

• Collaborated with developers and designers to enhance user-centric features.

• Identified and resolved critical issues to improve product quality and enhance user satisfaction.

• Executed diverse testing methodologies, including regression, exploratory, and usability testing. identifying

critical issues to improve product reliability.

• Utilized QA tools such as Jira, TestRail for bug tracking, test case management, and reporting.

• Collaborated with cross-functional teams, including developers and product managers, to align QA efforts

with business objectives and ensure seamless product releases

• Analyzed user feedback and translated insights into actionable test plans to improve usability and functionality.

• Created and executed detailed test cases, identified root causes, and delivered clear, concise documentation for stakeholders.