I am Xijing Wang, a Computer Science major (Economics minor) from Santa Clara University, will pursue my Master’s in Automated Science at Carnegie Mellon University (CMU) from August 2025. My work focuses on:
- Application of Machine Learning/Deep Learning in Science
- Machine Learning System
- AI-driven Mobile & Web Applications
- Scalable, Privacy-Aware Full-stack Systems
🤖 Machine Learning Engineering
🧠 LCCN Lab – SCU | Research Intern (focus on ML in Science) (2024–2025)
- Fine-tuned ResNet50, CNNs, and Vision Transformers to test neuroscience hypotheses.
- Built pipelines for fMRI data processing, feature extraction, and correlation-based representation analysis.
- Poster accepted at CogSci 2025; manuscript under review at Communication Biology.
📱 Food Recognition iOS App
- Trained TensorFlow models and converted to CoreML for 85%+ accuracy on 100+ food categories.
- Improved inference speed by 4× and reduced memory by 40%.
🧩 MasumiRanker: AI Agent Discovery Platform (Hackathon)
- Built semantic search engine with Faiss and Sentence Transformers.
- Designed FastAPI backend with SQLite + SHA-256 hashing for agent ranking, reviews, and audit logs.
💻 Software Development Engineering
💓 EmojiAndEmotion
- Full-stack React Native app with HRV analysis via Apple HealthKit.
- Achieved 98% HRV accuracy and reduced query time from 200ms to 50ms with SQLite + Redux.
🌐 Social Networking Website
- Developed full-stack Go Gin REST API server with real-time comment system and scalable architecture.
📊 INRIX Market Analysis (Hackathon)
- Multi-threaded Java backend for travel flow analysis; Leaflet.js for map-based visualization.
📄 CV & Resume
I’m passionate about exploring and optimizing next-generation ML/DL algorithms, and applying them to broader scientific and engineering problems—bridging theoretical innovation with real-world impact.