I embark on whimsical quests in the enchanted forest of code.
As a Senior majoring in Computer Science at the College of William and Mary, I have developed a passion for crafting efficient and innovative software solutions.
My academic journey has equipped me with a solid foundation in computational thinking and problem-solving. I'm deeply interested in software engineering, and always eager to explore the latest trends and technologies.
Outside the codebase, I value teamwork, continuous learning, and proactive problem-solving. I'm excited to further my journey in the software industry, and I'm always open to connect with like-minded professionals or opportunities that align with my passion.
Engineered a natural language chatbot for Auto Dashboard using React, Node.js, OpenAI API, and Langchain, enabling automated and dynamic dashboard creation.
Developed key features including multi‑page generation, dynamic layouts, design customization, and data relevancy filtering, reducing dashboard creation time by 90%.
Managed version control and collaborated on codebase improvements by raising PRs, conducting code reviews, and utilizing GitHub for seamless integration and deployment.
Employed AWS Lambda functions and Docker in projects to efficiently extract and manage JSON data from Hyperscience documents.
Engineered a high‑efficiency script to analyze 52,000+ JSON files, extracting and uploading key PDFs in minutes, a process that previously took months, dramatically boosting productivity.
Utilized Agile methodologies, specifically Scrum and Sprint planning, to streamline project workflows and improve team efficiency.
Collaborated with faculty to architect and implement machine learning pipelines focused on the real-time detection of disinformation campaigns on Twitter.
Utilized Natural Language Processing (NLP) and supervised learning algorithms to classify Twitter bot behavior, achieving high precision and recall metrics. Adapted the framework for cross-platform compatibility.
Developed a full stack web application using React.js and integrated it with a RESTful API backend, enabling users to assess the credibility of Twitter accounts interactively.