About Me
Recent First-Class Honours Computer Science graduate with one year of industrial experience at Jaguar Land Rover, delivering measurable improvements in testing workflows through software tools, automation, and full-stack applications. Skilled in Python, React/Next.js, Node.js, and Docker, with additional expertise in machine learning and computer vision (YOLO, OpenCV & PyTorch). Seeking full-stack or AI engineering roles where I can build scalable, production-ready systems and contribute to innovative solutions.
Professional Roadmap
My journey in Tech & Industry
Junior Software Developer
Nov 2025 - PresentValStream
Working as a Full Stack Developer utilizing Agile & Scrum methodologies. Specializing in Java (Spring Boot), React, and PostgreSQL with a strong focus on Test-Driven Development (TDD).
BSc. (Hons) Computer Science - Final Year
Sept 2024 - July 2025University of Sheffield
First Class Honours (4.0 GPA). Dissertation: Risk-Assessed Obstacle Detection for Off-Road Driver Assistance. Member of the Boxing Society
Product Engineering Software Ugrad - Industrial Placement
July 2023 - July 2024Jaguar Land Rover
Led digital transformation efforts to enhance vehicle assessment workflows. Replaced paper-based workflows with a React Native (Expo) mobile app linked to Google Firebase Firestore (NoSQL) and GCP, enabling offline use in remote areas. Reduced recording time by 25% and report visualisation time by 60%.
BSc. (Hons) Computer Science - Years 1 & 2
Sept 2021 - July 2023University of Sheffield
First couple of years of my degree and learning the foundations of Computer Science. Member of the Ethical Hacking Society
Featured Projects
AI CV / Resume Tailor
A Next.js and React.js full-stack web application that uses RESTful API integration to send engineered prompts to OpenAI's ChatGPT 5-mini. Returns targeted feedback in under 10 seconds.
Discord Job-Posting Webhook
Implemented a webhook which posts new job notices within an hour of postage on discord using RESTful and OAuth API with Python for backend. Automated via Github Actions.
Repair Services Mobile App
Full-stack reactive Android app using Kotlin and Jetpack Compose. Features MVVM architecture, SQLite database, interactive maps for geolocation, and camera integration.
IoT 'DIY' Smart Assistant
Embedded full-stack smart assistant on ESP32. Enables wake-word detection and real-time speech processing via REST APIs (OpenAI Whisper). Written in C (ESP-IDF).
Off-Road Obstacle Detection
First-class dissertation project. Fused raw data from 3D LiDAR and stereo-vision cameras to provide real-time inference-based obstacle detection using YOLOv8 and OpenCV.
Grade Classification System
Full-stack MVC project using Ruby on Rails with Sinatra and PostgreSQL to store and classify student grades. Integrated with University authentication systems.