About Me
I'm a passionate developer and researcher dedicated to creating innovative solutions that bridge the gap between cutting-edge technology and real-world applications.
My Journey
I am a rising second-year at the University of Virginia pursuing a Bachelor of Science in Computer Science and Systems Engineering, where I'm building a strong foundation in both theoretical and practical aspects of computing.
My passion lies in the cybersecurity realm, where I've earned my CCNA and Security+ certifications, demonstrating my commitment to understanding network infrastructure and security principles at a professional level.
Currently, I'm diving deep into the applicability of AI/ML systems, exploring how these cutting-edge technologies can be integrated with cybersecurity to create more intelligent and adaptive security solutions for the future.
Thank you for taking the time to view my portfolio webpage. I hope you enjoy exploring my work and learning more about my journey in technology!
Full-Stack Development
Building robust, scalable web applications with modern frameworks and cutting-edge technologies.
Machine Learning
Creating intelligent systems that learn, adapt, and provide meaningful insights from complex data.
Research & Innovation
Exploring new methodologies to solve complex problems in AI, security, and web technologies.
Performance Optimization
Delivering lightning-fast, efficient solutions that scale and perform under any conditions.
Resume
My professional journey and technical expertise in building innovative solutions.
Download ResumeExperience
Cyber Security Intern
- •Leading the deployment of a React Native referendum voting application across 50+ local townships and municipalities, enhancing civic participation and streamlining local democratic processes
- •Integrating an IBM's secure backend to safeguard voter data confidentiality and utilizing a HubSpot CRM for efficient stakeholder communication and user engagement tracking
- •Directing project management as lead intern, developing and managing comprehensive project timelines and deliverables, enabling timely execution and alignment across technical teams.
Full-Stack Development Intern
- •Engineered a full-stack volunteer management system using React and Firebase, enabling real-time tracking, shift scheduling, and automated approvals, reducing administrative task time by 11%
- •Optimized database structure and implemented Firebase Firestore with indexed queries, achieving sub-200ms response times for shift lookups and admin actions
- •Enhanced scalability and reliability through role-based authentication and dynamic UI rendering, resulting in a 40% reduction in manual coordination reported by museum staff.
Telemetry Subteam Lead
- •Developed and implemented real-time telemetry communication in C, leveraging XBee modules to securely transmit and receive critical data via Amazon IoT MQTT broker, significantly enhancing the solar car's remote monitoring capabilities.
Software Solutions Architect Intern
- •Led a team of interns in the development of a Complaint Management System, streamlining operations for government entities and enhancing overall efficiency
- •Directed the development and implementation of solutions utilizing Microsoft PowerApps, PowerBi, and Power Automate (Flows) to address complex business challenges, resulting in optimized workflows and improved data management
- •Collaborated with cross-functional teams to deliver a comprehensive group project presentation to leadership, showcasing the innovative solutions developed during the internship program and highlighting their potential impact on government operations.
Computer Science Tutor
- •Tutored over 10 students in computer science concepts, providing personalized 1-on-1 instruction to enhance their understanding of programming, algorithms, and problem-solving skills, resulting in improved academic performance and increased student confidence in coding.
Education
Bachelor of Science in Computer Science and Systems Engineering (Double Major)
GPA: 3.97/4.0. Relevant Courses: Data Structures and Algorithms, Computer Systems and Organization, Machine Learning
Skills
Specializations
Portfolio
A showcase of my recent projects and innovations. Each project represents a unique challenge and demonstrates my commitment to creating impactful solutions.
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XSS Machine Learning Model
Engineered a reinforcement learning–based machine learning model in C++ to detect early on-site Cross-Site Scripting (XSS) attacks, achieving a detection accuracy of 96%.
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Political Bias Compass
Developed a Flask-based web application in Python that analyzes political bias in news articles using a linear regression machine learning model, achieving 96% accuracy in sentiment analysis.
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Machine Learning Object Detection Model
Led a team to build a TensorFlow object detection model that identifies team props with 89.1% accuracy.
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HTL Stock Market
Developed a TypeScript web application simulating a fantasy stock market where users trade athlete stocks based on real performance.
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Battleship Prediction Model
Implemented a predictive AI model that optimally selects next moves in Battleship using probability mapping and historical data.
Get In Touch
Ready to bring your ideas to life? Let's collaborate and create something extraordinary together.