MACIEKGENEJA
Building high-performance web applications, microservices, and deterministic data platforms. Systems Placement Developer at Next.
I build high-performance
systems & software.
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.
1st & 2nd Year • Loughborough CS
AI Attribution & Blazor WASM
PostgreSQL RLS & AI Firewall
C#, Python, React & Docker
Academic Rigor & Algorithmic Foundations
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.
Featured Case Studies
High-performance software systems, computer vision platforms, enterprise security architectures, and embedded engines.
Core Languages
Systems, AI & Vision
Cloud, Security & Data
Enterprise & Full-Stack
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. Engineering cross-environment services, infrastructure reliability, and core automated product classification workflows.
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.
Areas of Expertise
From low-level system design and CV algorithms to full-scale web platforms.
Full-Stack Web Engineering
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.
AI Systems & Computer Vision
Integrating edge computer vision pipelines, multi-modal LLMs (Gemini), trajectory physics modeling, and real-time inference into intuitive web applications.
High-Performance Architecture
Crafting scalable cloud infrastructure, secure JWT authentication architectures, and hardware-accelerated fluid UI interactions.