- 🎓 June 2025 graduate from the University of Wisconsin-Madison with a B.S. in Computer Science & Data Science.
- 💻 Passionate about building scalable systems, AI-driven applications, and exploring Large Language Models (LLMs) and RAG architectures.
- 🎮 Outside of code, I'm an avid gamer and home theater enthusiast.
- 🔧 I enjoy tinkering with hardware, from building a custom UniFi home network to engineering a smart home security system with custom automations.
- 🚀 Always looking for the next exciting project to dive into.
Languages:
Frameworks & Libraries:
DevOps & Cloud:
Databases & Data Technologies:
| Project | Description | Tech Stack |
|---|---|---|
| MINIREL-DBMS | A custom single-user Database Management System (DBMS) built from scratch in C/C++. Features a buffer manager, heapfile manager, and a cost-based query execution engine that reduced query latency by 40%. | C/C++, SQL, Heapfile, Buffer Manager |
| Kitchen2Fork | AI-powered recipe generator that suggests personalized recipes from real-time camera input. Utilizes a fine-tuned Flax-T5 transformer and Google Cloud Vision for 97% ingredient detection accuracy. | Python, Hugging Face, Google Cloud Vision, OpenCV, PyQt6 |
| TripTrekker | A comprehensive travel planning application built in Java. Allows users to create and manage detailed trip itineraries, track expenses, and explore destinations within a clean and intuitive interface. | Java, Makefile |
| Distributed Weather Pipeline | A real-time, fault-tolerant ETL pipeline for ingesting and analyzing global weather data. Processes over 100,000 data points per minute, ensuring high availability and low latency. | Python, Kafka, Spark, HDFS, Cassandra |
Feel free to connect with me on LinkedIn or check out my resume. I'm always open to discussing new projects, creative ideas, or opportunities to be part of an amazing team.