Building intelligent systems at the intersection of AI, healthcare, and web engineering.
Full Stack Developer & AI Engineer
A well-rounded full-stack developer with practical experience ranging from AI-powered healthcare systems in California, to award-winning indie games and deep learning safety tools. MSc Computing Science from the University of St. Andrews, BSc Computer Science (First Class) from the University of Exeter.
MSc Computing Science (Merit)
University of St. Andrews · 2022–2023
BSc Computer Science (First Class)
University of Exeter · 2019–2022 · Global Excellence Scholar
Zemplee Inc, California
Building AI-powered elderly care systems: NLP-driven report generation, RAG-based health assessment Q&A, caregiver GPS visit tracking, and smart home IoT monitoring for 1,000+ clients.
University of St. Andrews
Advanced study in artificial intelligence theory, game development, and digital reconstruction. Developed expertise in ML systems and interactive media.
Independent Project
Simulation management game built in Unity/C#. Designed spell systems and random events; implemented daily order management, customer queues, and competitor AI behaviour.
Independent Project
Card-based RPG built in Processing. Designed adventure scenarios and deck stats; implemented core card resolution engine, player hand management, and narrative branching.
University of Exeter
Comprehensive grounding in web development, ML model building, and benchmarking. Recipient of the Global Excellence Scholarship (2020, 2021, 2022).
🏆 AARP AgeTech · GSV Pioneer · Corporate Innovation Awards
AI-powered remote elderly care system serving 1,000+ clients. Features NLP report generation, RAG health Q&A assistant, GPS caregiver tracking, smart IoT home safety monitoring, and chronic disease management dashboards.
Simulation management indie game where players use spells to run a magical tavern. Built daily order queues, customer generation AI, competitor behaviour trees, and random event systems in Unity/C#.
Card-building RPG with a rich narrative graph. Players' choices ripple through story branches, unlocking new cards and endings. Built card resolution engine, hand management, and scenario data storage.
Deep learning computer vision system for detecting helmets and safety harnesses in workplace photos. Built on PyTorch / YOLOv8-style detection pipeline with real-time inference support.
NLP-powered chatbot for gaming community assistance. Handles game rule queries, character builds, and session scheduling using a retrieval-augmented conversation architecture.
This very site — a full-stack personal homepage built with React 19, FastAPI, Tailwind CSS v4, and a Markdown-backed blog system. Deep-space cyber aesthetic, bilingual, SEO-friendly.