Applied AI Engineer Fellow at
Sy Quoc Uy Vo portrait

Aspiring backend & data engineer with a math foundation

CS & Math sophomore at Knox College. I write Python for data pipelines, API workflows, and computational systems, combining engineering discipline with mathematical rigor.

🟢 Open to work

Work samples

A collection of class projects and personal work that demonstrate my growing skills in programming and problem solving as I move toward professional experience.

  • Dickson Polynomials and Self-Reciprocal Polynomials
    Dickson Polynomials and Self-Reciprocal Polynomials
    Dickson Polynomials and Self-Reciprocal Polynomials

    Develop a Python pipeline (SymPy, NumPy) to construct Dickson polynomials of the (k+1)-th kind over the integers and finite fields GF(p), automating symbolic factorization, root computation, and irreducibility testing across parameterized (k, p) values; conduct computational experiments to verify co

    PythonSymPyNumPyLaTeX
  • S&P 500 Sector Portfolio Analytics Platform
    S&P 500 Sector Portfolio Analytics Platform
    S&P 500 Sector Portfolio Analytics Platform

    Collected and cleaned 10 years of daily price data for 11 S&P 500 sector ETFs using the yfinance API, computed daily returns and covariance matrices, and prepared datasets for portfolio analysis; applied Markowitz mean-variance optimization with PyPortfolioOpt to construct minimum-variance and maxim

    yfinancePyPortfolioOptPythonMatplotlib

About me

CS & Math sophomore at Knox College. I write Python for data pipelines, API workflows, and computational systems, combining engineering discipline with mathematical rigor.

I am Sy Quoc Uy Vo, a sophomore at Knox College studying Mathematics and Computer Science. I am an Applied AI Engineer Fellow at CodePath and a Digital Learning Student Assistant at Knox College. I build Python pipelines and analytical tools, using SymPy, NumPy, Pandas and PyPortfolioOpt for projects like polynomial computation and S&P 500 sector portfolio analysis. I aim to turn coursework and research into practical tools while I start my career.

Experience

Applied AI Engineer Fellow

CodePath · Jun 2026 - Present

Digital Learning Student Assistant

Knox College · Jun 2026 - Present

Academic Assistant

MathExpress Center · May 2025 - Aug 2025

Education

Knox College

Bachelor of Science in Mathematics and Computer Science · Class of 2029

Skills

PythonPandasNumPySymPyJavaRExcelPivotTablesVLOOKUPRegression AnalysisPyPortfolioOptMatplotlibGitLaTeX

Dickson Polynomials and Self-Reciprocal Polynomials

Develop a Python pipeline (SymPy, NumPy) to construct Dickson polynomials of the (k+1)-th kind over the integers and finite fields GF(p), automating symbolic factorization, root computation, and irreducibility testing across parameterized (k, p) values; conduct computational experiments to verify co

PythonSymPyNumPyLaTeX

Overview

Dickson Polynomials and Self-Reciprocal Polynomials
View all works

S&P 500 Sector Portfolio Analytics Platform

Collected and cleaned 10 years of daily price data for 11 S&P 500 sector ETFs using the yfinance API, computed daily returns and covariance matrices, and prepared datasets for portfolio analysis; applied Markowitz mean-variance optimization with PyPortfolioOpt to construct minimum-variance and maxim

yfinancePyPortfolioOptPythonMatplotlib

Overview

S&P 500 Sector Portfolio Analytics Platform
View all works