🎓 Data Science + Information Science w/Computer Science Certificate @ University of Wisconsin–Madison
📍 Based in Madison, WI
💡 Interested in Data Engineering, Distributed Systems, AI/ML, and Full-Stack Development

• 🔭 I’m currently building: Weather Data Streaming Pipeline (Kafka + MySQL + Docker + Protobuf + HDFS)
• 🌱 Learning more about Spark, Cassandra, gRPC, Kafka Streams, and Cloud Data Platforms
• 🧪 I enjoy solving complex problems in big data systems and scalable backend design
• 🎯 Career Goal: Data Engineering / Backend SWE / Distributed Systems
• 📚 Always exploring: Large-scale data processing, AI integration, system design

🧩 Languages

🔗 Data & Distributed Systems
Spark · Hadoop HDFS · Kafka · Hive · Cassandra · gRPC · Protobuf

🛢 Databases
MySQL · BigQuery

☁ Cloud & DevOps

🌐 Web / App Development (AI-assisted prototyping)

🌱 Grow Together — Social Hangout App Prototype (Hackathon Project)
Designed and developed a mobile app prototype using AI-assisted development to encourage consistent group meetups through shared bucket lists and a visual reward garden. Collaborated on user flows, feature prompt-engineering, and rapid UI generation to validate the concept during a 24-hour hackathon. Built with React Native, Expo, and TypeScript.

🤖 PolarisCapital Analytics — Astronomy & Finance ML Lab (Hackathon Project #2)
PolarisCapital Analytics is a dual-domain analytics platform for exploring stellar data and financial markets with classical machine learning and rich dashboards. It is designed to support real CSV uploads, automatic schema inference, XGBoost and LightGBM models, clustering, anomaly detection, and 15+ interactive dashboards for risk, portfolios, sky maps, and more. I designed the overall idea, architecture, and dashboard/layout structure, then used modern AI coding tools to generate the initial implementation as a starting point for my own learning. The codebase now serves as an open-source skeleton / lab that I plan to gradually rebuild and extend by hand as I study ML, data engineering, and visualization more deeply.
Built with Python, Flask, scikit-learn, XGBoost, LightGBM, pandas, NumPy, Kafka concepts, Snowflake-style schemas, Airflow / Prefect hooks, HTML, CSS, JavaScript

🔗 Repository

• ☕ Coffee + 🍕 Pizza, but curiosity fuels me most!
• 🌌 Passionate about Star Wars, sci-fi worldbuilding, and deeply narrative movies
• 🎧 Often code to film scores (John Williams, Hans Zimmer, Ludwig Göransson)
• 🧩 Enjoy working on tech that creates real impact in communities