Building high-performance web applications, microservices, and deterministic data platforms. Systems Placement Developer at Next and open-source contributor to T3 Code.
Computer Science undergraduate at Loughborough University (First-Class Honours across 1st & 2nd Year). Systems Placement Developer at Next plc within the PIM (Product Information & Management) Strategic Team. Experienced across C#, .NET, Blazor WASM, Python, PostgreSQL RLS, OpenCV, and modern distributed web architectures. Combines strong academic grounding in algorithms and discrete logic with practical experience building secure, high-throughput systems. I also contribute to T3 Code, including merged support for Antigravity subscription quotas and usage limits.
1st & 2nd Year • Loughborough CS
AI Attribution & Blazor WASM
PostgreSQL RLS & AI Firewall
C#, Python, React & Docker
BSc Computer Science — Loughborough University
Loughborough AU Volleyball representative & competitive Basketball player.
Towers Hall Committee RAG Representative; charity fundraising & event coordination.
Native English and Native / Bilingual Polish communication.
High-performance software systems, computer vision platforms, enterprise security architectures, and embedded engines.
Improvements contributed to the tools I use, reviewed by their maintainers and merged upstream.
My GitHub profileT3 Code
Contributed subscription quota tracking for the Antigravity provider, with web and mobile displays for Gemini and shared Claude/GPT limits and reset times when available.
Added tests and documentation, and addressed review feedback on OAuth token handling and authenticated redirects. Accepted and merged into the upstream main branch.
Secured competitive 12-month industrial placement in the Systems Team of a FTSE 100 retailer. Leading UI re-architecture for AI Attribution 2.0 using Blazor WebAssembly in a multi-repository, multi-solution microservice ecosystem. Developing internal engineering playbooks and onboarding fellow developers into structured agentic workflows — codifying domain context (CONTEXT.md, ADRs), designing deep-module boundaries to contain blast radius, and enforcing deterministic verification gates.
High-performance sports science multi-tenant analytics platform providing athlete readiness scoring and compliance gating. Implemented PostgreSQL Row-Level Security (RLS) bound to JWT claims, GDPR Article 9 dynamic data masking, deterministic Composite Load Score (CLS) engine with 28-day rolling z-scores, Anthropic Claude AI regex firewall, and Vitest/Playwright cross-tenant test suites.
Authoring comprehensive evaluation rubrics to benchmark LLM accuracy and reasoning against expected outcomes. Writing and executing Data Science Python scripts to validate model outputs, diagnosing logic errors, and mitigating hallucinations.
Demonstrated strong time management and resilience by balancing a demanding Computer Science degree with part-time retail work, collaborating within a 15+ member team to consistently hit operational targets in a fast-paced environment.
From low-level system design and CV algorithms to full-scale web platforms.
Production-ready, highly responsive web platforms built with modern frameworks like Next.js 16, React 19, and Node.js with strict sub-450ms performance targets.
Integrating edge computer vision pipelines, multi-modal LLMs (Gemini), trajectory physics modeling, and real-time inference into intuitive web applications.
Crafting scalable cloud infrastructure, secure JWT authentication architectures, and hardware-accelerated fluid UI interactions.
