BSc Computer Science (AI) graduate from Brunel University of London. I craft ML-powered applications, full-stack platforms, and data-driven tools that solve real problems.
I'm an AI-focused software developer with hands-on experience in machine learning, full-stack development, and data analysis. I graduated from Brunel University of London in 2025 with a BSc in Computer Science (Artificial Intelligence).
My final year project was a cryptocurrency price forecasting system using LSTM neural networks. It achieved 98% prediction accuracy (R² 0.98) on Bitcoin and was deployed as a full Flask + React web application with live predictions.
Outside of code, I'm a professional percussionist with 15+ years of experience, I've volunteered across community initiatives in Uxbridge, and I'm passionate about the intersection of AI with finance and healthcare.
Holding Certifications From
Full-stack web application that generates 30-day price forecasts for Bitcoin, Ethereum, and Solana using separate trained LSTM models. Users select a coin and receive date-indexed predictions via a clean React interface backed by a Flask REST API. Evaluated on 2025 data with strong generalisation results.
Image classification model detecting glaucoma from retinal scans using a convolutional neural network built with TensorFlow.
NLP-based application classifying hotel reviews by sentiment with a real-time dashboard, deployed with Flask.
Interactive Power BI dashboard pulling live global COVID-19 data from public APIs with dynamic country and date filtering.
I'm actively looking for roles in AI/ML engineering, full-stack web application development, data science, or software engineering in the UK. I'm open to interesting conversations, collaborations, or just a chat about something you're building.