Nadia Balbontin

First-Class Computer Science graduate from Queen Mary University of London, with a year abroad at UC Davis focused on AI, machine learning, and computer vision.

I like building things end-to-end. I'm currently the sole developer for a jewellery retailer's e-commerce and auction site, handling everything from client consultation to launch, and previously worked as a full-stack intern at Tecnolika, building React frontends and PHP/PostgreSQL APIs for an HR platform in an agile team. My final-year project was an ML-powered plant disease detection app (97.7% accuracy, sub-0.5s diagnosis) covering the full lifecycle from requirements to deployment.

Recently I've been drawn to what's possible with AI tooling: my team placed 3rd of 40 at the Airia x Atlassian Williams F1 Hackathon with an agentic race-strategy app, and I built and deployed a live AI policy mapping tool in a 7-hour sprint at an AI safety hackathon in London.

I'm looking for roles where I can keep shipping, ideally somewhere I can work across the stack and keep learning fast.

Freelance Web Developer at Self-employed (2026-07 – Present)

• Sole developer for a jewellery retailer's e-commerce/auction site, owning the full build from client consultation through to launch
• Extending Squarespace with custom HTML/CSS/JavaScript, with full ownership of UI/UX decisions
• Translating non-technical client requirements into concrete design and functionality decisions

Full Stack Software Engineer Intern at Tecnolika (2024-07 – 2024-12)

• Built frontend modules (React, React Native) and backend APIs (PHP, PostgreSQL) for Operaria, a scalable HR platform, in a 5-person agile team, delivering features end-to-end from design through testing
• Contributed to CI/CD pipelines (Git, automated build/testing) and supported weekly sprint planning by decomposing features into user stories

Academic Tutor at MyTutor (2023-03 – Present)

• Tutoring KS2 to A-Level students in STEM, Computing, and English; improved grades by 1-3 across 20 students in the 2024 academic year

Deputy Head of Lap Time Simulation at Formula Student, QMUL (2024-09 – 2025-08)

• Led lap-time simulation (OptimumLap, IPG CarMaker), collecting vehicle data across multidisciplinary teams to inform analysis and optimise lap times; 2nd place, IMechE FS Virtual Dynamics Event 2025

Teaching Assistant, Logic and Discrete Structures at QMUL EECS (2022-09 – 2022-12)

• Supported 50+ first-year students in core theory, improving module performance to 80%; assessed weekly labs and tests with feedback

BSc in Computer Science – Queen Mary University of London (2021-09 – 2025-07)

Year Abroad – University of California, Davis (2023-09 – 2024-06)