Undergraduate Reasercher
CurrentCollaborated with leading professors to advance the capabilities of cutting-edge Language Processing Agents (LEIAs), which leverage machine learning techniques to enhance multilingual language processing. Key contributions include:Knowledge Base Expansion: Worked closely with faculty to augment the foundational knowledge base of LEIAs, enabling sophisticated language processing that is easily adaptable across multiple languages.Ontological Concept Development: Developed, cleaned, and expanded the dictionary of ontological concepts critical for agent language processing. Utilized Python scripts for efficient data management and testing, ensuring high accuracy and relevance of the concepts integrated into the agents.Procedural Language Generation: Enhanced the procedural generation of human language from Task Management Reports (TMRs) by utilizing built-in ontologies and lexicons. Employed advanced libraries such as TensorFlow and spaCy to improve natural language generation capabilities, allowing for more coherent and contextually appropriate outputs.Web Application Redesign: Redesigned the Flask web application interfacing with LEIAs to improve user experience and accessibility. Focused on creating a more intuitive interface that allows users to interact seamlessly with the agents, thereby facilitating better understanding and engagement.Through this work, I have significantly contributed to the evolution of LEIAs, pushing the boundaries of language processing technology and fostering innovative solutions in multilingual communication.