I am a Computer Science Graduate Student at Cornell University (expected May 2026) with a passion for building intelligent systems and scalable software. My work focuses on Natural Language Processing, Distributed Systems, and Machine Learning.
- 🎓 Education: Masters + Bachelors in Computer Science @ Cornell University
- 💻 Currently working on: Enhancing the Gerrit code review system with algorithmic reviewer recommendations and long-term time series forecasting (PatchTST).
- 🌱 Learning: Deepening my expertise in large-scale ML deployments and advanced deep learning.
- ⚡ Fun Fact: I’m currently training for my first marathon! 🏃♀️
- Languages: Python, Java, C++, SQL, JavaScript, TypeScript
- AI/ML: PyTorch, TensorFlow, Scikit-learn, Spark, Kafka, Ray
- Tools & Platforms: Linux, Docker, Kubernetes, AWS
- [Energy Demand Predictor]: Developed a winning model for California energy forecasting in collaboration with Millennium.
- [Digital Health Score Tool]: Building a tool to analyze and score the online discoverability of small businesses.
- [PatchTST Implementation]: Working on transformer-based models for long-term time series forecasting.