CS & Economics — University of Minnesota

Zohaib Syed

I build software where code meets markets — from ML models and trading systems to iOS apps people actually use.

Open to internship opportunities

[About]

I'm a Computer Science and Economics student at the University of Minnesota (class of 2027), interested in the space where software engineering and markets overlap — machine learning, quantitative trading, and full-stack product work.

I've interned at The Walsh Group and Tartan Supply Company, shipped an iOS app with paying users, and I'm currently building a crypto options-pricing model that paper-trades on Polymarket. Outside of class I'm active in Social Coding and founded the Consulting & Strategy Group at UMN.

Working with

PythonTypeScriptJavaScriptSwiftJavaCSQLRReactReact NativeSwiftUIPyTorchTensorFlowFastAPIPostgreSQLFirebaseAWS
[Work]
  1. May 2024 — Aug 2024

    IT Business Systems Analyst Intern · The Walsh Group

    Integrated a business system suite streamlining timecard management for 6,000+ hourly employees and construction plan management for 30+ projects. Configured SSO via Microsoft Azure across 21 regional offices and built an Excel model on user login data to allocate system billing accurately across company sectors.

    Microsoft AzureSSOExcel
  2. May 2023 — Aug 2023

    IT Intern · Tartan Supply Company

    Helped migrate the company website from static HTML to a dynamic React.js / Node.js / MySQL platform, improving performance and scalability. Coordinated with an offshore development team to keep milestones on schedule — cutting average turnaround by 3 days — and assisted in integrating the authorize.net payment gateway for secure online transactions.

    React.jsNode.jsMySQLauthorize.net
[Projects]

Anubis

A trading model that applies Monte-Carlo Black-Scholes pricing to Up/Down contracts for BTC, ETH, SOL, and XRP, placing paper trades on Polymarket's 5-minute price markets. Not profitable yet — actively in development.

PythonMonte-CarloBlack-ScholesPolymarket

NFL Crystal Ball

An ML model for game-to-game performance analysis of NFL teams. Improved prediction accuracy by 13% by benchmarking Random Forest, KNN, SVC, and Gradient Boosting models against each other.

PythonScikit-LearnPandasNumPyMatplotlib

Love.ly

An iOS app built with Swift and SwiftUI on Firebase/Firestore, supporting 50+ users. Added authentication and in-app purchase integration, increasing profitability by 85% to date.

SwiftSwiftUIFirebaseFirestore

Run App

A cross-platform running app built with React Native and Expo on Firebase. Led project workflow for a team of 3 developers using GitHub Projects and Issues.

React NativeTypeScriptNode.jsExpoFirebase
[Contact]

The fastest way to reach me is email — I read everything.

zsyedks@gmail.com

Open to internship opportunities · Minneapolis, MN