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From: United Kingdom

Location: London, GB

On Useme since 25 September 2026

About me

Software Engineer with 5+ years of commercial experience developing production mobile and Web applications for Android, iOS, and full-stack environments; skilled in Kotlin and Swift, I have experience in Python, JavaScript, React, Node.js, PHP and SQL, particularly in the development of REST APIs and applications based on databases. Applications, Bluetooth-enabled systems, and automated testing solutions; we have a proven track record of improving application performance, reliability and development workflows, including reducing hardware Regression testing was increased by more than 95% and on-site commissioning time was reduced by about 50%. Experienced working with technical and non-technical stakeholders to deliver scalable, user-focused software solutions.

Categories

Web development > Website development
Coding and IT > Software
Coding and IT > Mobile apps
Coding and IT > Web apps

CV / Résumé

Apr 2023 - Apr 2026

Android / iOS / Python Developer

CUCUMBER LIGHTING CONTROLS

I developed Android and iOS applications using Kotlin, Swift, Firebase, and SQL for smart lighting. Bluetooth reliability was improved by 40%, commissioning by 50%, testing by 95%, and documentation by 60%.

Feb 2021 - Feb 2023

Full-Stack Developer / IT Support

CMT Group

I developed PHP/JS/WordPress applications and REST APIs. I created inventory tools which reduced errors by 45 per cent, optimised the databases so that load times improved by 30 per cent, and provided solutions that were focused on stakeholders.

Portfolio

AI Calling Agent

I developed a calling agent powered by AI for use in simulated sales calls, including the production of conversation summaries and the storage of the call transcripts so that they could be reviewed, analysed, and followed up on.

Shapes

I created an Android endless-runner game using C# and Unity, including features such as shape matching, scoring, increasing difficulty, in-app purchases, rewarded ads, and online leaderboards.

Car Prediction Model

I created a Streamlit application which predicts used car prices based on vehicle and location data, the process involving a scikit-learn pipeline for model training, evaluation, and prediction.