• Created ETL pipelines by leveraging Microsoft Azure Databricks for scalable big data processing, Azure Data Factory for orchestrating data workflows, SQL for data transformations, Spark for distributed data handling, and Python for writing scripts.• Implemented agile project management methods to track progress, manage risks, and ensure timely delivery of project milestones.

• Conducted Generative AI (GenAI) research in the healthcare domain, aimed at evaluating clinical summaries generated by Large Language Models (LLMs) and published our findings at KDD-AIDSH 2024 Oral conference.• Developed a faithfulness hallucination detection framework using GPT-4o and Llama-3 for clinical summary generation and evaluation through Chain-of-Thought (CoT) reasoning and few-shot prompting.

• Revamped the AudioShelf mobile app using React Native in TypeScript, offering audiobooks in 30+ languages to 2000+ users.• Improved mobile application performance and reduced server load by 30% by through caching.• Implemented 6+ new features, logged and addressed 15+ identified issues, and resolved 12+ bugs.• Improved user engagement by incorporating deep linking for navigation between the mobile application and external sources.

• Worked on a mobile application which performed on device machine learning and computer vision tasks using MediaPipe and MLKit.• Deployed Amazon S3 to establish secure and scalable cloud storage, AWS Lambda to facilitate serverless computing tasks, Amazon DynamoDB to streamline database management, Amazon Cognito to handle access management as part of the backend development.• Boosted app performance by 55% on average using multithreading for background tasks.• Implemented user-friendly interfaces and integrated secure user authentication via Firebase.

• Improved administrative efficiency and streamlined member management by integrating multiple features using React in TypeScript, Tailwind CSS, and Firebase.• Developed administrative functionalities to manage 200+ members in an interactive GUI system.• Enabled real-time updates from Firebase Realtime Database for user data using the Node.js SDK.

• Developed a Python web scraper using Selenium to retrieve project support data as part of the Data Engineering Platform Team.