I am a Computer Science and Engineering major at UC Merced, specializing in full-stack development and machine learning. As a Project Manager for the Machine Learning Club and Social Media Manager at Hotpot.ai, I bring both technical expertise and leadership experience. I'm passionate about building AI-powered applications that solve real-world problems, from containerized web apps with GPT-4 integration to real-time computer vision systems. My work spans across modern web technologies like React and TypeScript, backend systems with Python and Flask, and machine learning frameworks including PyTorch and OpenCV. I thrive on creating innovative solutions that bridge the gap between cutting-edge AI research and practical, user-friendly applications.
Managed and curated content on Twitter and Reddit to boost user engagement. Conducted analysis on trending stocks to optimize social media strategy and increase viewer engagement. Experimented with various posting formats and times, identifying patterns that increased views significantly. Collaborated with a team to strategically integrate quotes and financial analysis, enhancing content quality.
Fine-tuned a ResNet-18 on the Kaggle Cats vs Dogs dataset, reaching 98.6% validation accuracy after a single epoch using Cyclic Learning Rate scheduling and data augmentation. Built a real-time webcam demo with OpenCV that overlays live predictions at 30 FPS. Packaged in reproducible Jupyter notebooks.
Built a containerized full-stack web app that reviews résumés with GPT-4 and returns concise, structured feedback plus matching job listings. Features a RESTful Flask backend that converts PDFs to text, queries OpenAI for analysis, and exposes secured endpoints. Automated job-listing refresh via APScheduler with Apify crawler integration.
Built an interactive web demo that recognizes American Sign Language (A–Z) and carries on a real-time, voice-enabled conversation whose tone adapts to the user's detected emotions. Trained a Convolutional Neural Network (CNN) in PyTorch, exported to ONNX, achieving >90 FPS on desktop. Integrated Hume AI for emotion detection and Vapi for full-duplex voice communication.
Created the frontend of EdTok, a platform designed to transform student learning through short-form content and quizzes. EdTok allows teachers to upload educational videos organized by classes, subjects, and chapters, followed by quizzes to test student understanding.
Building a free website where users can interact with multiple LLMs, including GPT-4, Claude 3.0, Meta AI, and Gemini. User data is securely stored via Firebase. The platform is funded through Google Ads.
I'm always interested in new opportunities and collaborations. Feel free to reach out if you'd like to work together!