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Hi, I'm Yuyang Wang

MSc Software Engineering Student at NTU

Full-Stack Developer • Web Developer • AI Engineer • Data Scientist

About Me

I'm a passionate MSc Software Engineering student at Nottingham Trent University, specializing in full-stack web development and AI engineering. I love creating innovative solutions that bridge the gap between technology and real-world problems, from frontend user experiences to backend systems and AI-powered applications.

When I'm not coding, you'll find me playing bass, watching anime, or spending time with my puppy Kemi. I believe in continuous learning and staying updated with the latest technologies in the rapidly evolving tech landscape.

2+
Years Experience
5+
Projects Completed
5+
Technologies

Featured Projects

Personal Interests Website

A personal website showcasing my hobbies, music tastes, anime interests, and life experiences. Built with Gatsby and React, have a look if interested in my music tastes or random fun facts about me.

Personal Website Gatsby React Styled Components Netlify

FocusFlow

A productivity app designed for ADHD and neurodivergent individuals. Features habit tracking, skill development, and visual progress indicators. Perfect for half-way quitters :D

TypeScript React Supabase CSS

FridgeMind

An intelligent food management app that helps users track ingredients, suggest recipes, and reduce food waste through smart recommendations. "Save money, reduce waste."

TypeScript React AI/ML API

Kanso

A minimalist decluttering app inspired by Japanese Zen rock gardens (Karesansui). Built with Flutter for iOS and Android. *Still developing...feel free to explore this demo

Dart Flutter Mobile App Cross Platform

Tech Stack

Languages

JavaScript
Python
Java
HTML/CSS
Swift
C#
TypeScript
Dart
R
MATLAB

Frameworks & Libraries

React
Node.js
Git
PostgreSQL
AWS
.NET
Flutter

Tools & Platforms

GitHub
Docker
Netlify
CLI
Mobile Dev

Work Experience

Jun–Aug 2024

Data Scientist / ML Engineer Intern

NEXT Retail Ltd (eCommerce HQ, UK) | Leicester

  • Designed and deployed predictive ML models (XGBoost) for customer delivery preferences, improving accuracy by 128% over baseline.
  • Created LLM-based sentiment analysis tools with 98% accuracy, supporting marketing & customer service.
  • Engineered scalable pipelines using Azure Databricks + PySpark to process high-volume e-commerce data.
  • Delivered production-ready dashboards and applications, recognised by senior management for impact, adaptability, and innovation.
Jul 2024

HSBC Women in Tech Insight Programme

Sheffield

  • Explored digital services, software engineering, cybersecurity, and data engineering in a financial context.
  • Built teamwork, problem-solving, and communication skills through challenges and mentoring.

Let's Connect

I'm always interested in new opportunities and collaborations. Whether you have a project in mind or just want to chat about technology, feel free to reach out!