Part of an early stage research team focused on building a model for Collaborative Problem Solving (CPS) based remote laboratory learning platform to optimize learning and engagement. Contributed in designing, testing functionalities, data analysis and visualizations.

Independent Application Design and Development for AI-enabled systems for automating company operations:1. Developed a dynamic record comparison system to automate employee data validation, detecting discrepancies and generating reports for improved efficiency.2. Created a flexible Gen-AI chatbot system for role-specific employee training in financial operations, reducing training time and workload.

Member of Global Deep Tech team, working on Analytics/AI/Big Data projects:1. Generative AI chatbot using private data for Swayam, a consolidated cloud management tool.- Using Azure OpenAI and LangChain Library to access GPT-4 large language models for question-answering and data summarization.- Using Chroma vector database as AI-native embedding database to store private documents and logs.- Utilizing Unstructured library to process various file formats for documents, images, spreadsheets, and presentations.2. Implemented LLM solutions for insurance providers (MetLife, Manipal Cigna) for question-answering, automatically interpreting customer emails/tickets, and generating preliminary responses. Leveraged hospital data and technical medical information.3. Created LLM chatbots for logistics companies (Matson) to address customer queries related to products and services.4. Designed and deployed multi-source, fast LLM QA systems for software providers (Celerate).5. Developed LLM systems for interpreting company policies and practices (Vedanta), and analyzing tabular food sales data (Compass Food Kitchen) to provide insights, future predictions, and suggested actions.

Member of Global Deep Tech team, working on Analytics/AI/Big Data projects:1. Recommendation models for Client BookMyShow, India's largest entertainment ticketing platform in the Media industry.- Developing recommendation models for movie, party, and event bookings for client's end-customers.- Utilizing AWS Data Analytics tools like Sagemaker, Glue, QuickSight and Redshift.- Utilize AWS cloud infrastructure.

Member of a Cloud Migration and Transformation project: Transforming legacy Analytics System for a client providing Event Solutions and Services Data validation and cleaning (using Azure Data bricks and Data Factory) User Acceptance Testing using Azure Synapse and Data Lakes for migration using Power BI for creating Dashboards Solution documentationContributed in workshops for : Hotel Dataset analysis Possible cloud solutions for upgrading legacy systems.