• Integrated an ASP.NET MVC application with Microsoft SQL to maintain a company referral program for companies like AOPA, used by 1000+ pilots and operators allowing for customized logos and descriptions• Established a precise Traveler and Redress number validation tool through Regex, enabling more accurate bookings for a platform that serves 1,000,000+ users annually, by utilizing a Razor C# front end and the jQuery library• Implemented VueJS/Bootstrap to refactor and modernize user and admin pages through Dashkit Layouts• Incorporated Agile methodologies through Azure DevOps to support CI/CD pipelines and automation workflows, reducing deployment time by 45% and increasing release frequency

• Contributed to a neural network for stock prediction using PyTorch and Pandas to automatically discern financially relevant news by utilizing past stock price movements and the Gigaword Dataset• Trained a Naive Bayes classifier using a parsed text dataset of 210k+ articles to organize news headlines bycategory, successfully achieving a 91% accuracy using softmax classification• Leveraged BERT within the feedforward layer on 2 million news headlines to generate embeddings from context and semantic meanings, systematically stored in a MongoDB database for later use

• Collaborated with a 7 other developers on a semester long project involving the creation of a collaborative whiteboard website, utilizing React and CanvasJS to implement shape drawing and stroke customization• Enabled real-time drawing updates by seamlessly integrating web sockets over TCP, capturing and transmitting JSON-formatted data including new coordinates, stroke attributes, and line color• Assigned unique identifiers for each whiteboard using MongoDB, allowing efficient whiteboard saving and retrieval