Software Engineering Intern & Full-Stack Developer
I build innovative web applications and passionate about cloud computing, DevOps, and product management. Currently working at Fidelity Investments and pursuing Computer Science at UT Dallas.
I'm a passionate Computer Science student at the University of Texas at Dallas, currently working as a Software Engineering Intern at Fidelity Investments. I love combining my technical skills with real-world problem solving, whether it's building web applications, designing beautiful user interfaces, or improving internal systems.
My journey in tech started with curiosity and has evolved into a deep passion for cloud computing, DevOps, product management, and UI/UX. I enjoy using tools like Figma to create mockups and collaborating on design-focused projects. I believe in writing clean, maintainable code and building products that make a real difference in people's lives.
Years Experience
Projects Completed
Technologies
Richardson, TX
Bachelor of Science in Computer Science
Minor: Business Analytics and Artificial Intelligence
May 2027Migrated a Node.js AWS Lambda from static configs to a centralized config store, enabling runtime config changes without redeploys and improving flexibility, maintainability, and operational efficiency.
Built an AI-powered virtual Toyota salesman in under 24 hours at HackUTD 2025. Integrates fine-tuned Grok LLM via OpenRouter API and ElevenLabs audio synthesis for real-time, voice-enabled car recommendations. Features interactive comparison dashboards, dynamic finance estimates, and personalized suggestions trained on Toyota specifications, pricing, and user preferences.
A passion project I started in late November 2023 combining my love for anime with full-stack development. Users can create accounts, make lists ranking their favorite anime, and post opinions on episodes or topics. Built as a single-page application with React.js and styled using Tailwind CSS, it fetches anime data via the Jikan API and provides an interactive, modern interface.
The backend is powered by Node.js with Express.js handling API routes and PostgreSQL storing user-specific data. Authentication uses JSON Web Tokens to ensure each user has personalized lists and posts. Future plans include implementing AWS Amplify/S3 for media storage and AWS RDS/DynamoDB for cloud database scalability.
Built and trained a hybrid CNN-LSTM model in TensorFlow to predict S&P 500 movements using minute-level stock data, incorporating technical indicators to capture market behavior. Developed a trading strategy using high-confidence predictions, achieving an 18% return versus a 9% S&P 500 baseline. Final model classified movements as Up/Down/Flat with 62.5% accuracy across 5,400+ model-driven trades; visualized trends with Matplotlib to evaluate performance over time.
Built a user-friendly inventory management system supporting 300+ unhoused residents. Started from Figma mockups and built a React.js front-end (CoreUI) with 5+ interactive pages. Implemented a dynamic inventory table with filtering, searching, and manual input that updates in real time to manage 500+ donated items. Added QR scanning in a Django-based backend to efficiently add or remove items in the PostgreSQL database.
A music recommendation system analyzing Spotify listening data using audio feature extraction. Built personalized song suggestions based on musical characteristics and listening patterns, leveraging Python audio tooling and lightweight app frameworks.
A carbon tracking website for airplane travel with interactive map displaying 15,000+ U.S. airport locations. Integrates public APIs for carbon footprint calculations and provides accurate environmental impact assessments.
I'm always interested in new opportunities, exciting projects, and connecting with fellow developers. Whether you have a question about my work or just want to say hi, feel free to reach out!