Keene Brogan

Welcome! I'm Keene

I'm a Computer Science student at Georgia Tech, specializing in AI and Human-Computer Interaction. I have hands-on experience in software development and machine learning engineering, having worked as a Software Engineer at AWS and Genuine Parts Company. At AWS, I built an AI-powered chatbot that improved engineer efficiency. At Genuine Parts Company, I implemented machine learning ranking algorithms to optimize e-commerce search results. Outside of software, I have led teams in robotics and consulting student organizations, where I managed budgets and secured funding for nonprofits. I am passionate about impactful technology, whether it be cutting-edge AI, cloud computing, or solving complex problems.

Professional Experience

Software Development Engineer Intern

Amazon Web Services (AWS) | May 2024 - August 2024

Designed and implemented a RAG-enabled chatbot using LangChain to assist engineers, reducing on-call demand by 60%.
Aggregated and preprocessed documentation to build a comprehensive knowledge base, enabling a chatbot with 100% accuracy.
Developed a scalable, automated data pipeline using AWS services (EC2, S3, OpenSearch) for continuous knowledge base updates.

Software Engineering Intern

Genuine Parts Company | May 2023 - August 2023

Implemented a Learning to Rank (LTR) model to optimize NAPA Auto Parts' search results, projected to increase revenue by 30%.
Trained an LTR model on millions of search queries and 90 days of user behavior data, improving ranking effectiveness (NDCG +20%).
Developed a full-stack application integrating LTR with Google Cloud Vertex AI, Flask, Java Spring Boot, and React.

Leadership Experience

Georgia Tech RoboJackets

Treasurer (April 2022 - May 2023)

Managed a $250,000 budget across five competition robotics teams, ensuring financial stability.
Led procurement and acquisition teams, streamlining purchase orders and package delivery logistics.
Generated financial reports that secured $35,000+ in sponsorships from corporate partners.
Developed financial automation tools using Google Sheets & JavaScript, improving tracking efficiency.

Secretary (November 2021 - April 2022)

Oversaw all internal and external communications, connecting sponsors, student groups, and members.
Planned social networking events for 400+ members, enhancing engagement and collaboration.
Managed meeting agendas and records, ensuring streamlined communication within the organization.

My Projects

Learning to Rank

This Learning to Rank (LTR) project optimized NAPA Auto Parts' search results by ranking products based on user interactions like clicks and purchases. Using Google BigQuery and an XGBoost model on Vertex AI, it improved ranking accuracy by 20% and is expected to boost revenue by 30%. The system enhances search relevance and customer experience, driving higher conversions.

View Project

ML Spam Detection

This project built spam detection models using Naive Bayes, SVM, and Random Forest, achieving 98% accuracy on a 5,000-email dataset. Hyperparameter tuning improved precision to 100%, making the models highly effective. These models efficiently classify spam, reducing phishing risks and improving inbox security.