Aspiring Software Engineer | Computer Science Student
I am a dedicated Computer Science student with a strong passion for software development and problem-solving. Pursuing my Bachelor's degree in Computer Science, I am focused on developing a solid foundation in programming, algorithms, and software engineering principles to design efficient and innovative solutions.
My journey in tech began with curiosity about how things work, and has evolved into a commitment to creating meaningful applications that make a difference. I enjoy tackling challenging problems and continuously learning new technologies.
GPA: 3.5/4.0 • Dean's List • Relevant coursework: Computing in Python, Advanced Data Structures and Algorithms, OOP, Software Engineering, Computer Operating Systems, Applied NLP & Text Mining
Graduated with Honors • Computer Science Club President • Mathematics Team Captain
• Accomplished faster IT troubleshooting as measured by a 15% reduction in resolution time, by developing Python
scripts to automate log analysis, system monitoring, and routine error handling.
• Ensured 99% uptime for several law school devices by configuring and monitoring networks using TCP/IP and DNS
protocols.
• Reduced repeat support tickets by 20% through building a structured knowledge base, leveraging database
organization and information retrieval principles.
• Collaborated with senior engineers to implement proactive monitoring tools and troubleshoot complex multi-user
systems in real time.
• Assisted students and staff with IT-related queries, including network access, software troubleshooting, and campus system navigation.
• Maintained and updated digital records for residents, ensuring accurate tracking of dorm assignments and student information.
• Supported student engagement initiatives by organizing tech-oriented workshops and providing guidance on campus technology resources.
This is a modern, interactive learning platform that combines artificial intelligence with voice technology to create personalized educational companions. Students can engage in real-time voice conversations with AI tutors across various subjects, making learning more engaging and accessible.
A Next.js 14 application that transforms PDF or text syllabi into interactive, AI-powered academic calendars, featuring smart date extraction, event categorization, Google Calendar sync, and a responsive, user-friendly interface.
A browser extension that instantly condenses articles and YouTube videos using the OpenAI API. Features a clean, responsive interface, real-time content extraction, and a scalable backend optimized for speed, cost-efficiency, and improved summary relevance.
A machine learning model that analyzes 50,000+ credit card transactions to detect fraudulent activity, using data preprocessing, feature engineering, and SMOTE balancing to improve accuracy and reliability.
A full-stack web app that generates structured learning courses from user-provided topics. Uses the OpenAI API to create course outlines and lessons, and integrates the YouTube Data API to recommend supporting video resources. Built with Node.js, Express, EJS, and Bootstrap for a responsive, accessible experience.
A C++ game simulation using SFML (Simple and Fast Multimedia Library). The simulation involves a dragon, a slayer, obstacles, and food items. The goal is to move the dragon around the game grid, avoid obstacles, and consume food while avoiding the slayer. The slayer will hunt the dragon based on its proximity, and if it catches up, the dragon will lose some of its length.
A secure password manager that stores encrypted credentials locally, with features like search, copy-to-clipboard, and auto-save using a clean, user-friendly interface.
I'm always interested in hearing about new opportunities and interesting projects. Whether you have a question or just want to say hi, feel free to reach out!
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