Available for Work

Rio Halil-Roberts.

Mathematics graduate & software developer building intelligent systems at the intersection of machine learning, cybersecurity, and full-stack engineering.

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BSc Mathematics
London, UK
Rio Halil-Roberts
PythonTensorFlowPyTorchSQL C / C++JavaScriptFastAPIDocker Linuxscikit-learnNumPyPandas REST APIsGitTransformersR PythonTensorFlowPyTorchSQL C / C++JavaScriptFastAPIDocker Linuxscikit-learnNumPyPandas REST APIsGitTransformersR
About

Meet Rio

I'm a Mathematics graduate from Queen Mary University of London with a deep interest in building software at the crossroads of machine learning, security, and systems engineering.

From interning at UCL's Institute of Epidemiology to building ML-powered threat detection frameworks, I've consistently worked on projects that combine technical rigour with real-world impact. I'm passionate about cybersecurity, AI, and self-hosted infrastructure.

Languages
PythonSQLCC++JavaScriptHTML/CSSR
Frameworks
TensorFlowPyTorchscikit-learnFastAPINumPyPandasTransformers
Tools
LinuxDockerGitVirtualBoxRaspberry PiREST APIs
Experience
Summer Informatics InternJun — Jul 2019
Camden Council
Built custom queries and APIs with Python, SQL, and RESTful integration — doctors accessed records 2x faster. Designed a normalized DB schema reducing duplicates by 30%. Recovered critical data after a database crash.
Summer Engineering InternJun — Jul 2018
UCL Institute of Epidemiology and Health Care
Developed an interactive mobile health app with Python and health APIs. Designed a UI achieving ~90% engagement among elderly users. Partnered with NHS doctors on compliant data handling.
Education
BSc Mathematics (Pure)
Queen Mary University of London
09/2021 — 07/2025
Key modules: Python, C, C++, Actuarial Maths, Group Theory, Discrete Math, Number Theory, Linear Algebra, PDEs, Probability & Statistics.
Selected Work

Projects

From AI-powered threat detection to self-hosted infrastructure.

Machine Learning2024 — Present
ML Threat Detection

A framework that classifies cybersecurity threats automatically. Integrates REST APIs for live threat intelligence, improving detection accuracy 25% above baseline.

Infrastructure2024
HomeLab & DNS Blocker

Private NAS with three streaming apps on a self-managed server. Raspberry Pi 5 running Pi-hole as a network-wide DNS ad-blocker.

AI2024
AI Chatbot

Collaborated on the system prompt and backend for a low-level AI chatbot. Integrated new data structures improving processing speed by 20%.

Contact

Get in Touch

Open to opportunities in software engineering, ML, and cybersecurity.

Available For Work

Curious about what we can build together? Let's create something extraordinary.