•Developed a chatbot using Langraph and LangChain, providing full app functionality and integrated withMongoDB for database management.•Implemented LLM-based features, including a reflection agent, using prompt engineering techniques.•Built a custom object detection model for food, fruits, and vegetables using YOLOv9, achieving 89% accuracy.•Analyzed chatbot interaction data to extract insights, improving user experience and system performance.Secured a full time offer(PPO) starting June 2025

Working on Explainability of ML models under Professor Procheta Sen

•Contributed to the "Developing Technologies for Victims of Human Trafficking" project, focusing on datacollection from social networks to identify illegal services like forced labor and prostitution.•Created datasets and worked on machine learning models and language transformers to detect recruitmentefforts by human traffickers.•Conducted literature reviews on machine learning algorithms for classifier development, demonstratingleadership and collaboration with fellow researchers.•Created a website to display local information about human trafficking and prediction of suspicion on messagesand images.

•Wireframing and UI design of new features•Documentation and presentation•User interview, interfaces and journeys•Coordinating with the other teams•Product development and improvement•Market research and analytics

I worked on Fake News detection with cross lingual insights under the guidance of Mr. Sahil Jaglan. Developed an ensemble model for classification of news and incorporated language translation for accurate sentiment analysis using TextBlob and Vader sentiment.

I worked on two projects-1) A Blockchain marketing application based on ethereum 2)A chat room application with file sharing, chatting, end to end encryption and calling features

I worked on the statistical analysis for determining the role of skill in online games of Rummy and Poker under the supervision of Professor Tapan Kumar Gandhi.