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
> Sample previews 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
> Sample previews available in System View

The Technical
Details.

My background combines Data Science principles with the architectural discipline of Computer Science.

My skills range from designing UIs that reveal complex concepts, to building full machine learning models from scratch.

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Education

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

Stack & Skills

Python JavaScript FastAPI React Git NetworkX System Architecture Prompt Engineering And More...