OMSCS @ Georgia Tech | BSCS @ CSULB | Former Software Engineering Intern @ Sandia National Laboratories

I’m a Computer Science graduate from California State University, Long Beach with a strong focus on data science, machine learning, and full-stack software engineering. I’m passionate about building scalable systems and data-driven solutions that create measurable impact, whether through intelligent automation, optimized decision-making, or seamless user experiences.Through hands-on projects spanning web development, backend systems, and applied machine learning, I’ve developed a solid foundation in designing efficient architectures and writing clean, maintainable code. I enjoy working at the intersection of software engineering and data, where thoughtful system design meets analytical insight.I’m driven by curiosity, ownership, and continuous improvement, and I’m always looking for opportunities to build high-impact solutions in software engineering, quantitative systems, and data-focused roles.
Programming: Python (Pandas, NumPy, Sklearn, Matplotlib, Seaborn, TensorFlow, Pytest), Java, JavaScript, C/C++/C#, SQL, Haskell, HTML/CSS, Typescript, Prolog, R, MATLAB
Infrastructure: AWS, OpenAI, Supabase, Postgres, MongoDB
• Collaborated with a team of five to develop a dynamic web platform that displays real-time classroom availability using web-scraped data from the university's scheduling system
• Integrated an interactive campus map with clickable buildings, allowing users to visually explore and access detailed classroom information
• Implemented secure user authentication and account management with Clerk, enabling students to rate and review classrooms, and participate in bulletin board discussions for study sessions and campus events


• Engineered an AI-powered chatbot leveraging Python and OpenAI API to deliver accurate, real-time responses to hospital-related inquiries
• Implemented secure credential management and error logging to ensure reliability and ease of debugging
• Designed a scalable system architecture with extensibility for web deployment and integration into larger platforms
• Designed and developed a Python-based student management application using MongoDB, enabling efficient management of student records, departments, course sections, and majors
• Implemented CRUD operations (Create, Read, Update, Delete) for student records and academic data, enhancing the administrative capabilities of educational institutions
