BSc Computer Science with Artificial Intelligence
Impact-driven Computer Science student specialising in AI and full-stack development, blending research rigour with production delivery. Experienced in TypeScript, Vue, and React with front-end internship experience and core contributions to large-scale open-source projects. Seeking end-to-end ownership from requirements through deployment.
Foundation Year GPA 3.8/4.0, First Year GPA 3.85/4.0, Top 20% of cohort
Led front-end development of the Plants vs. Zombies 2 UGC upload platform end-to-end:
Built high-fidelity UI using shadcn-vue, lucide-vue-next, and Tailwind CSS
Implemented multi-page navigation with Vue Router; unified Axios interceptors for request handling and auth
Deployed test environments for front and back end; resolved cross-origin issues and validated API contracts
Collaborated with QA on unit testing and bug fixes to improve system stability
Reimplemented the Mamba-TasNet speech separation pipeline to align with published benchmarks across Mandarin and English datasets
Automated data preprocessing and mixed-precision training workflows, improving iteration speed on the centre's compute cluster
Delivered weekly experiment updates to the research group to inform deployment plans for forthcoming pilots
Open-source · 40k+ GitHub Stars · Electron + TypeScript
Provider config: designed dynamic validation and fault-tolerance for API Key verification and Endpoint routing; improved error feedback with actionable recovery suggestions
Conversation import: built history import module handling heterogeneous data formats; optimised local storage and UI consistency
UI stability: fixed race conditions and state bugs in note sorting, tab navigation, and drag-and-drop ordering
i18n & docs: added internationalisation for core views; wrote bilingual API docs and contribution guide to lower onboarding friction
Open-source · 2k+ GitHub Stars · Expo + React Native
State management: designed global state architecture with Redux Toolkit (conversation history, model state, user config); async middleware ensures consistency and reduces UI jank
UI components: built conversation list, message detail, and model switcher; implemented dark/light theme adaptation
Local storage: integrated Drizzle ORM for offline session viewing and config caching; optimised high-concurrency read/write performance
Full-stack campus forum built to fill the gap in student tech community tooling
Stack: Spring Boot + MyBatis RESTful API, Vue3 + Element Plus admin panel, UniApp WeChat Mini-program
Auth: JWT-based RBAC system with three permission tiers (admin / user / guest)
Performance: virtual list for smooth topic feed scrolling; WeChat sensitive-word filter and Alibaba Cloud OSS image moderation
Traction: 290+ GitHub Stars, 150+ cumulative users
HackNotts 2025 hackathon project
Built elegant terminal UI with TypeScript + Node.js + React (Ink)
Integrated OpenAI, Anthropic, Google, xAI providers with real-time switching and streaming responses
Designed plugin system and MCP (Model Context Protocol) extension architecture; built-in command management and history export (JSON/Markdown)
LeedsHack 2026 hackathon project
Implemented interactive desktop pet logic inspired by BongoCat using TypeScript + Vue + Tauri2
Integrated AI model to enhance pet behaviour (text/state generation); modular architecture for extending new interactions
Personal Monorepo base template inspired by midday and create-t3-turbo
TurboRepo + pnpm Workspaces for efficient dependency management and task orchestration (build/test/run)
Stack: TypeScript, Vite, Vitest, Rollup; configured oxfmt formatting and oxlint code style enforcement
Designed CNN and Vision Transformer architectures for disease detection and abnormality classification from X-rays, MRIs, and CT scans
Completed image preprocessing, data augmentation, and model evaluation to improve diagnostic efficiency and reduce annotation workload
Delivered weekly progress reports with actionable outcomes within a fixed research timeline