Available for Placement · 2026
// Hello, I'm

Kayode Ohundayo.

Computer Science & AI student building intelligent, useful things.

First-class undergrad at the University of Huddersfield. Comfortable across the stack — from training ML models in Python to shipping full-stack web apps in Next.js. Looking for a placement where I can ship real software and learn fast.

View My Work Get In Touch Download CV
// 01 · about

A bit about me.

I'm a Computer Science & Artificial Intelligence student at the University of Huddersfield, currently maintaining a First Class with a 72% average. I came from a mechanical engineering background and switched into computing because I wanted to build things, not just analyse them.

What gets me excited is the intersection of AI and full-stack development — shipping products that are both well-engineered and actually intelligent. I've trained ML models in Python, built responsive web apps in Next.js, and contributed to agile team projects using GitHub, Jira, and Monday.com.

Right now I'm looking for a placement opportunity where I can ship real software, work alongside experienced engineers, and learn fast — particularly somewhere AI plays a serious role.

Outside of coding, I'm usually thinking about the next project worth building, on a long walk (where most of my best ideas actually show up), or playing basketball.

0% First Class Average
Year 0/4 BSc CS & AI
0+ Projects Shipped
0+ Languages

Full-Stack Development

End-to-end web apps with Next.js, React, and TypeScript.

AI & Machine Learning

Training and evaluating models with Python & scikit-learn.

Data & Backend

Designing schemas and APIs in MySQL, PostgreSQL, Node.js.

// 02 · projects

Things I've built.

A mix of ML, full-stack, and team projects from my time at university.

Customer Churn Prediction Model Featured
Machine Learning 2025

Customer Churn Prediction Model

Random Forest classifier trained to predict customer churn on a banking dataset of 10,000+ records. After feature engineering and a head-to-head comparison with Logistic Regression, the final model hit 86.5% accuracy.

  • Performed full data preprocessing & feature engineering pipeline
  • Compared Random Forest vs. Logistic Regression to justify the chosen model
  • Visualised distributions and feature importance with Seaborn
Python scikit-learn Pandas Seaborn Random Forest
View on GitHub
What-If Financial Simulator Live Demo
Web App 2026

"What-If" Financial Simulator

An interactive financial simulator that helps users compare savings, debt, and investment scenarios with real-time projections. Built to make complex money decisions — like "save up vs. buy on finance" — easy to visualise.

  • Responsive UI components with Tailwind CSS & React
  • Structured calculations engine for real-time scenario projections
  • Deployed on Vercel with fully responsive mobile layout
Next.js React TypeScript Tailwind CSS
Live Demo Code
Team Project 2025

FitPulse — Sleep Tracking Module

Built the Sleep Tracking module frontend as part of an agile team developing FitPulse, a multi-feature fitness MVP. Designed responsive UI components for sleep pattern monitoring and visualisation.

  • Owned the Sleep Tracking feature end-to-end (UI + state)
  • Collaborated via GitHub, Microsoft Teams, and Monday.com
  • Worked in an agile workflow with structured sprints & reviews
Next.js TypeScript React Tailwind CSS PostgreSQL
Team Repo · Private
// 03 · experience

Where I've worked.

Real-world experience plus structured virtual programmes.

Advanced Software Engineering · Virtual Experience

Walmart Global Tech via Forage

Jan 2026
  • Solved technical projects across multiple Walmart engineering teams.
  • Built a novel heap data structure in Java for the shipping department.
  • Designed a UML class diagram for a data processor with multiple operating modes.
  • Created an ERD for a new database meeting requirements from the pet department.

IT Support / Computer Technician

Hallylaw Computer Technology · Lagos, Nigeria

Jun 2018 — Aug 2023
  • Provided hands-on technical support for hardware and software — diagnostics, repairs, system upgrades.
  • Installed, configured, and maintained operating systems, drivers, and productivity software.
  • Troubleshot system performance issues to keep machines reliable and efficient.
  • Built strong foundations in real-world IT environments, customer service, and workplace standards.

Certifications

Coursera Overview of Data Visualization
Coursera Get Started with Jira
// 04 · skills

My toolkit.

Languages, frameworks, and tools I'm comfortable working with.

Languages

Python Java JavaScript TypeScript SQL HTML5 CSS3

Frameworks & Libraries

React.js Next.js Node.js Tailwind CSS Chart.js scikit-learn Pandas Seaborn

Databases

MySQL PostgreSQL

Tools & Platforms

Git & GitHub Postman Jira Google Cloud Google Colab Vercel Agile / Scrum
// 05 · education

Where I'm learning.

BSc (Hons) Computer Science with Artificial Intelligence

University of Huddersfield

Sep 2024 — Jun 2028
First Class · 72% Average

Focus on artificial intelligence, full-stack development, and software engineering principles.

Relevant Modules

Procedural Programming OOP Algorithms & Data Structures Artificial Intelligence Database & Web Integration Network Fundamentals Cyber Security Computational Mathematics

National Diploma · Mechanical Engineering

Yaba College of Technology · Lagos, Nigeria

Jun 2018 — Aug 2021

My pre-CS background. The engineering mindset taught me how to break problems down — I just wanted to build software with it.

// 06 · contact

Let's talk.

I'm actively looking for a placement for 2026 — and always happy to chat about AI, building things, or anything in between.

Location

Huddersfield, United Kingdom

Connect