CS & Economics — University of Minnesota

Zohaib Syed

AI fluent software engineer dedicated to developing real products, automations, and more.

Open to internship opportunities

[About]

I'm a Computer Science and Economics student at the University of Minnesota (class of 2027) and an AI-fluent engineer — I build with agentic tools like Claude Code every day, and I care most about turning ideas into products that actually ship.

Recently that's meant a neural network that reads market sentiment from financial headlines, a trading model that paper-trades crypto on Polymarket, and this site itself — built end-to-end with AI tooling. I currently intern at The Walsh Group, running on-site IT for two data-center construction sites, and at UMN I'm active in Social Coding and founded the Consulting & Strategy Group.

Working with

PythonTypeScriptJavaScriptSwiftJavaCSQLRReactReact NativeSwiftUIPyTorchTensorFlowFastAPIPostgreSQLFirebaseAWS
[Work]

  1. May 2026 — Aug 2026

    IT Field Intern · The Walsh Group

    One half of a two-person on-site IT team serving two data-center construction sites with 5,000+ employees and a combined $13B budget. Brought 40+ new site trailers onto the corporate network with Cisco Meraki, onboard new hires with compliant devices, and act as frontline support for a largely non-technical workforce.

    Cisco MerakiNetworkingIT Operations

  2. Jan 2024 — Present

    Valet Driver · Splitrock Parking

    Work in a team of 2–8 drivers coordinating arrival and departure logistics for busy events such as NHL games.

    LogisticsTeamwork

  3. May 2021 — Jan 2023

    Instructor · Mathnasium

    Independently taught students in grades 2–10 topics up to Calculus I. Developed rapport with students' families, leading to being named in several positive reviews and increasing student retention.

    TeachingMathematics
[Projects]

Financial Headline Sentiment Analysis

Neural Network built with PyTorch that classifies different market related headlines

PythonPyTorchSentence TransformersScikit-Learn
View project ↗Open in Colab ↗

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. Built with OpenClaw and GPT 5.5. Not profitable yet — actively in development. Try the live paper-trading sandbox below.

PythonMonte-CarloBlack-ScholesPolymarket
Launch sandbox ↗Source ↗

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
Visit ↗Source ↗
[Contact]

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

zsyedks@gmail.com

Open to internship opportunities · Minneapolis, MN