Software Engineer
HEALTHTECH
HEALTHTECH
FINTECH
Full-Stack Engineer
@ PlannerPal - 5 months
2026
- • Spiked and stabilised new concepts for the AI workflow platform used by financial advisers and wealth firms, then defined how they fit the existing product.
- • Developed a disciplined agentic workflow for production while keeping engineering judgment and high standards for safety, quality, and maintainability.
- • Built and evolved full-stack behavior across Django, GraphQL, React and Flutter inside a Dockerised, Celery-backed system. Learned the conventions of a multi-service codebase.
Software Engineer Consultant
@ Garcia Rama - 5 months contract
2025/26
- • Engineered and maintained a React and Node.js full-stack internal operations platform for a housing rehabilitation firm. Designing PostgreSQL schema via Prisma to support template and project workflows.
- • Refactored TypeScript backend services to introduce cleaner and clearer domain boundaries, reducing cross-service coupling andaccelerating feature delivery by 30% to 40%
- • Influenced technical decisions on stack selection and system design across backend, frontend and infrastructure layers
Software Engineer Consultant
@ electronRx - 3 month contract
2025
- • Led full-stack development and maintenance of the purpleDx cardiopulmonary assessment device.
- • Engineered 5 autonomous system variants of purpleDx by abstracting shared modules and refactoring crosscutting front and back-end components into reusable packages. Supported by robust CI/CD pipelines to ensure strict data isolation and identical RESTful API contracts across device configurations
- • Integrated Google Cloud services (GCP) to unify and standardise clinical datasets across UK-Japan research branches ensuring secure synchronisation and version data-exchange protocols.
Lead Developer & Co-Founder
@ Freeater - Start-up
2024-2025
- • Identified a critical dietary challenge and built a B2C full-stack web application to address it. The solution empowers users with very specific allergies to access precise restaurant allergen data and community-driven feedback. Developed to Vercel using PostgreSQL database and hosted in Supabase.
- • Implemented user authentication to handle sensitive allergy information through API integration and applied industry-standard encryption techniques.
Software Engineer
@ Avco Systems - 1yr Placement
2023-2024
- • Designed and refactored enterprise applications for UK clients, introducing a type-safe OpenAPI specification to ensure API stability and support delivery of breaking changes
- • Bridged legacy C#/.NET backend services with modern frontend applications, streamlining operations and focusing on improving system cohesion and future development scalability.
- • Enhanced overall system stability by expanding a full-stack testing suit to exceed 70% code coveragte which significantly reduced production-critical bugs.
- • Automated AWS authentication using AWSume for debug configurations, reducing debug launch time by 40%.
- • Took initiative to liaise directly with clients to clarify requirements and define project scopes.
Quantitative Research Platform
A research-focused platform for exploring market data, evaluating and runnning machine learning models, and observing how time-series systems behave in live conditions whilst predicting future prices with a +60% directional accuracy prediction.
LocalLM
LocalLM indexes labelled local files, retrieves the most relevant chunks, and generates answers with local Ollama models. Your documents stay on your machine: the desktop app talks to a local FastAPI backend, which stores metadata in SQLite and embeddings in ChromaDB.
Charity Network
Charity Network is a web platform designed to empower collaboration between charities by enabling them to discover, share resources, and communicate efficiently. The project addresses a major gap in the non-profit sector - the lack of infrastructure for inter-charity collaboration and resource optimisation.
Voice Recognition Virtual Assistant AI
OTTO is a voice recognition AI assistant built from scratch using Arduino and a Voice Recognition Module. It listens to voice commands, interprets them through serial communication, and responds with pre-recorded voice outputs through a speaker.
Artificial Neural Network
Developed a Multi-Layer Perceptron (MLP) Neural Network from scratch to predict daily water evaporation using 5 environmental variables. Developed using backpropagation, implementing pre-processing, training, and model evaluation techniques, achieving +80% accuracy in predictions.
Trading Algorithms
Developed a neural-network model trained on real-time data from the Alpaca API to classify daily market movement. The system consistently reached ~90% accuracy in predicting future 1 minute candles.
Over 6+ years of competitive swimming reaching Regional level and competing in the 2019 London Youth Games
Swimming
2 years of kickboxing with the Loughborough AU team, reaching to Nationals in 2022
Kickboxing
Played for the Loughborough Waterpolo AU team
Waterpolo
Using my creativity to document experiences, experiment with visuals and share stories through film.
Videography
