- Developed the first pipeline to automate the Static Application Security Testing (SAST) process, including error identification, fixes, and GitHub commits using Large Language Models, Python, and Langgraph- Built a Retrieval-Augmented Generation (RAG) Chatbot that answers company’s policy, and implemented into existing system- Technologies used: AWS Bedrock, AWS SageMaker, Anthropic Claude

- Conducted research for the Computing For Social Good Lab to detect mental burnout in online conversations- Preprocessed, labeled, and conducted exploratory data analysis to gain insights to the characteristics of the dataset- Detected questions, needs and topics in social media posts about burnout using Regex, BERT, and Python- Examining emotional bias in Large Language Models (LLM)- Publication: Nazanin Sabri, Anh C. Pham, Ishita Kakkar, and Mai ElSherief. 2024. Inferring Mental Burnout Discourse Across Reddit Communities. In Proceedings of the Third Workshop on NLP for Positive Impact, pages 224–231, Miami, Florida, USA. Association for Computational Linguistics. (https://aclanthology.org/2024.nlp4pi-1.21/)

- Conducted Wearable Learning Platform Research for the Advanced Learning Technology Lab to improve productivity. - Automate the process of analyzing children's games by developing a machine learning program that examines the game's text using the NLP model BERT.