cs + econ · uw–madison · class of 2028

studying computer science and economics at the university of wisconsin–madison. obsessed with machine learning, clean systems, and software that actually solves problems.

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learningmachine learning fundamentals — the math underneath the models
buildingthesis — a live investment dashboard with NLP sentiment and ML prediction
readingthinking, fast and slow — daniel kahneman
exploringwhat content creation might look like over the summer
on the sidestaying sharp in valorant (top 1%) — aim and economics have more in common than you'd think
last updated · may 2026
built THESIS — live thematic investment dashboard with NLP sentiment analysis and ML price prediction
Tracks 53 tickers across 5 themes. FinBERT scores 300+ headlines daily; Random Forest predicts 30-day SPY outperformance. Portfolio grew $15k → $400k+ over 3 years.
designed and built this personal website from scratch
3D starfield with mouse parallax, constellation overlay, custom cursor, and scroll-driven animations — all in one self-contained file.
presented a product strategy for codaworx at the PMC case competition
Prioritized a feature roadmap using RICE scoring and presented a go-to-market strategy at UW–Madison's Product Management Club case competition.
co-authored an NLP paper on word-reading time prediction at inspirit ai
Regression models predicting per-word reading time from syntactic and frequency features; compared logistic regression, random forest, and gradient boosting.
built ML models for stroke risk prediction with interactive web tool
Trained logistic regression, decision tree, and random forest classifiers on the Kaggle stroke dataset. Interactive prediction tool on GitHub Pages.
shadowed chip design engineers on PPA research at intel
Observed PPA optimization workflows on next-gen silicon at Intel. Early exposure to the engineering tradeoffs behind modern CPU design.
senior patrol leader · eagle scout
recipient of the BSA heroism award
curious
ask why, then ask again
adaptable
good at finding footing
collaborative
comfortable across teams
resilient
eagle scout, heroism award
composed
steady under pressure
patient
good things take time
passionate
obsessive about what i love
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languages

from systems-level C/C++ to typescript and python.

typescriptpythonjavac / c++
λ

machine learning

classification, nlp, and data exploration.

pandasscikit-learnfinbertnlp

web & backend

full-stack apps shipped on vercel and firebase.

fastapireactvercelrender

economics

intermediate micro, macro, and econometrics.

microeconomicsmacroeconomicsstatisticslatex

workflow

the everyday stack for shipping and reviewing.

gitvs codefigmaandroid studio

spoken

happy to hold a conversation in any of three.

englishmandarinspanish

open to internships and conversations with anyone working on interesting problems. fastest way to reach me is email.