CS + Data Science Student @ UW-Madison

Building Intelligence from First Principles.

I bridge the gap between complex algorithms and usable systems. Focusing on ML engines, event-driven architecture, and technical depth.

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Selected Projects

01 / 02
Completed

NNLearner

A custom neural network engine built in pure NumPy. Designed to visualize and execute backpropagation calculus without standard ML libraries.

Python NumPy FastAPI React
> Interactive Simulation available in System View
In Progress

OmniSec

Event-driven cyber conflict simulator. Models red-team vs. blue-team scenarios across networked infrastructure with O(log N) scheduling.

Python NetworkX PySide6 Systems
> Live Terminal Feed available in System View

The Technical
Details.

I don't just use tools; I build them to understand how they work. My background combines rigorous Data Science analysis with the architectural discipline of Computer Science.

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Education

University of Wisconsin–Madison 2025 — 2029
BS Computer Science + BS Data Science

Stack & Skills

Python (Advanced) JavaScript FastAPI React Git NetworkX System Architecture Prompt Engineering