Andrew's Portfolio

Education

Fourth-year student pursuing a double major in Finance and a joint Computer Science & Mathematics program

GPA: 3.77/4.0

Extracurricular Activities

Active member contributing to various projects and discussions.

Engage in an algorithmic trading student fund, collaborating with team members to research, develop, and implement trading strategies, advancing skills in quantitative analysis, risk management, and financial markets
Conduct in-depth research on various investment opportunities as part of the fund, employing analytical tools and methodologies to provide valuable insights for informed decision-making
Deliver compelling stock pitch presentations within the investment fund, showcasing thorough analysis and insightful recommendations to guide investment decisions

Managing a $2M market-neutral portfolio in a rigorous 5-month competition focusing on systematic trading strategies and risk management

Developing and implementing systematic trading strategies while maintaining strict compliance with portfolio constraints including dollar neutrality and position limits
Utilizing Python to build quantitative models combining trend following and mean reversion signals for stock selection
Managing a portfolio of 80+ US equities with weekly rebalancing while maintaining dollar neutrality between 0.9-1.1 and maximum position sizes of 5%
Competing against teams nationwide with performance evaluated on both investment returns and compliance metrics

Sports Activities

Past member of the WashU Bears football team, playing safety/OLB before tearing my ACL in the second week. Remained a member of the team until the end of the spring semester.

Committed approximately 30 hours per week to training, watching film, travel and playing games, and after the injury even more time in rehab
Balanced demands of a rigorous full course load and intense athletic training schedule and rehab, honing exceptional time management skills

College Highlights Senior Year High School Football Highlights Junior Year High School Football Highlights

Volunteer Work

Work Experience

Projects

n0t35

A markdown note-taking and dashboard app built in Swift, designed for seamless iCloud syncing, low-friction workflows, and deep LLM integrations.

n0t35

A markdown note-taking and dashboard app built in Swift, designed for seamless iCloud syncing, low-friction workflows, and deep LLM integrations.

Swift
SQL
MCP
Python

Swift
SQL
MCP
Python

This project began as an exploration after I built my own markdown note editor app. At the time, I was using ObsidianMD and even created a custom dashboard with some JavaScript integrations that I was proud of. However, the Obsidian mobile app was terrible, and the JavaScript integrations weren’t very performant. Despite never coding in Swift before, I decided to make my own iOS app to view my notes—but that introduced new issues with file syncing and app sandboxing. From there, I thought, why not build a macOS app too, and eventually add widgets as well? Over time, the app evolved into something I now rely on daily and has become incredibly beneficial. I based the UI/UX patterns on a mix of ObsidianMD and VS Code and for the job tracker I modeled the navigation off of Excel, while the main to-do structure was heavily influenced by this post from Andrej Karpathy. A demo video should be released soon.

macOS Demo

iOS app and Widgets

5tud10

Full-stack AI website and slideshow organizer with tools for creating documents and maintaining consistent theming across projects.

5tud10

Full-stack AI website and slideshow organizer with tools for creating documents and maintaining consistent theming across projects.

MCP
React
TypeScript
CSS
Python

@ndr3wM

A personal website I made which I am constantly refactoring, adding new features and aggregating the things I do

@ndr3wM

A personal website I made which I am constantly refactoring, adding new features and aggregating the things I do

React
TypeScript
CSS
SQL
MCP

React
TypeScript
CSS
SQL
MCP

I wanted to build a website that could grow with me as I get older, and this is it. It keeps me accountable and pushes me to learn new things. Right now, it features movie and book reviews, a blog I plan to post on more often, a map page with travel goals, and a page with some of my photography and videos. I didn’t know what shape it would take when I started, and I still add new pieces from time to time.

I’ve been collecting personal data on this site and built my own AI-powered recommendation tool. Because of it, I now have an ever-growing list of books and films to explore. Recommendation engines are powerful; they are a big part of how two of the most influential companies in the world make money, through targeted advertising and recommended content that captures your attention. AI lets anyone build a personal recommendation engine, not to drain your attention or sell you things, but to help you accomplish goals and thoughtfully explore any topic you like. The possibilities feel endless, and this website has been my main tool for exploring them.

Miscellaneous Projects

Smaller experiments and projects

Miscellaneous Projects

Smaller experiments and projects

- Python
- React
- CSS
I made this treemap a while back, I think I might implement something like this into my 5tud10 app with a batch stock quote endpoint. I used flask for my backend, which is something I will likely not do again.
- Repo
- Demo Video
- Python
Final Project from my Summer School Applications of Machine Learning class at LSE. This was my first introduction to ML, so it was a great learning experience.
- Report
- Repo

- React
- CSS
- TypeScript
- Photoshop
I made the logo and website for my friend's band. I also vibe coded a some video editing pipelines using the FFmpeg python library.