I'm a Computer Science student specializing in Intelligent Systems. I enjoy building software that solves real-world problems and helps people. My main interests are machine learning and data engineering, and I'm always looking for opportunities to learn and build. Outside of coding, I enjoy playing basketball, going to the gym, and spending time with family and friends.
Data Engineering Intern — building scalable data pipelines to improve analytics capabilities of aviation platforms supporting millions of passengers.
Software Development Intern — built internal tools that simplified enterprise access provisioning and policy management using AI. Also developed security dashboards and AI-assisted scripting features that helped teams manage infrastructure more efficiently.
Software Development Intern — built software that automated candidate sourcing by collecting and organizing data from job boards and professional networks. Worked on processing that data into detailed candidate profiles to support recruiting decisions.
Software Engineer Intern — developed backend services and frontend features for an email validation platform. Worked on asynchronous processing, file handling, and building a responsive interface for real-time validation.
Researching algorithms for reconstructing CT images from limited scan data. Also applying machine learning techniques to detect coronary artery disease and calcium buildup from medical imaging.
Built an AI framework that converts natural language into actions within a React application. Worked on integrating language models, voice input, and action routing to automate user interactions.
View on GitHub →Built a machine learning model to predict Formula 1 race podiums using historical race data on Azure Databricks. Also designed the data pipeline that prepares and serves data for training and inference.
View on GitHub →Click an exhibit to see where it's been used as evidence.