ANDROID · WEAR OS · ARTIFICIAL INTELLIGENCE
Android & Wear OS Developer with a background in AI.
I build Android and Wear OS apps, create watch faces, and work on AI projects that solve real problems.



ABOUT
I like building things people can actually use.
Most of my work sits in two worlds: Android and Wear OS products that people can download, and AI projects where I explore how software can understand images, text and data.
I have published 200+ watch faces and worked on a wide range of AI projects. Here are some of the ones I enjoyed building most.
FEATURED APPLICATION
Body Temperature Pro
A watch-and-phone app that keeps temperature tools and previous readings in one place.

Temperature tools, right on your wrist.
I built Body Temperature Pro to make temperature readings easier to access from a Wear OS watch, with a companion phone app for viewing saved history.
WEAR OS
200+ watch faces.
Still finding new ideas.
A small selection from the watch faces I have designed and published on Google Play — from simple digital layouts to weather, sports and detailed analog designs.

Rough Dial
Rugged analog

Dark Weather 2
Illustrated weather
Pixel Weather 2
Weather-forward digital

Colors Fall 3
Bold digital

Sports Dial 3
Data-rich sports layout
MSC DISSERTATION
AI Skin Condition Classifier
For my final Master’s project, I built a system that looks at a skin image, identifies whether it appears acne-prone, dry or oily, and then suggests suitable skincare products.
suggestions
From a photo to a useful recommendation.
I trained a MobileNetV2 image model on 793 curated images. On unseen test images, it reached 86.67% accuracy. I then connected the result to a simple recommendation system so the project went beyond just classifying an image.
AI PROJECTS
Things I’ve built with AI.
During my Master’s, I worked on practical AI projects involving images, text, predictions and recommendations. Here are a few of them.
Real model result from the projectPupillary Distance Detection
Built a system that finds both pupils in a face photo and automatically measures the distance between them.
Examples from the dataset used for trainingTyre Defect Classification
Trained AI models to look at tyre photos and decide whether a tyre appears good or defective.
Symptom-Based Disease Classification
Built a system that reads symptoms written as text and predicts the most likely disease category, even when the input is a little messy.
Scam Message Topic Modelling
Analysed scam messages to automatically find common themes and patterns, such as phishing, giveaways and lottery scams.
Game Recommender System
Built a recommendation system that learns from player activity and suggests games they may be interested in.
TECHNICAL STACK
What I use to build things.
The main tools and technologies I use across mobile development, AI and data projects.
Mobile
Kotlin · Java · Android Studio · Wear OS · Jetpack Compose · REST APIs
AI / ML
Python · TensorFlow · Keras · scikit-learn · Deep Learning · Computer Vision
NLP
LSTM · Sentence-BERT · BERTopic · LDA · Text Processing · Embeddings
Data & Tools
Apache Spark · PySpark · MLlib · Databricks · SQL · Firebase · Git / GitHub
JOURNEY
How I got here.
From Android development and Wear OS publishing to studying Artificial Intelligence.
Android Development
Started building Android apps and learning how to turn ideas into working mobile products.
Wear OS / SP Watches
Turned watch-face design into ongoing published work, with 200+ releases on Google Play.
MSc Artificial Intelligence
Explored how AI can work with images, language and large datasets through hands-on projects.
Next
Bringing my Android, Wear OS and AI experience together to build better products.
CONTACT
Want to build something together?
I’m open to Android, Wear OS and AI opportunities, collaborations, and interesting projects.