Before refactor

This commit is contained in:
GeorgeWebberley 2026-02-02 12:18:35 +01:00
parent 56afa86704
commit 02c12b6e15
10 changed files with 324 additions and 40 deletions

136
app/infrastructure/page.tsx Normal file
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"use client";
import { motion } from "framer-motion";
import { ShieldCheck, Zap, Globe, Cpu, Terminal } from "lucide-react";
import Link from "next/link";
const CAPABILITIES = [
{
title: "Cloud Orchestration",
icon: <Cpu size={16} />,
skills: ["Kubernetes", "Docker", "Cloud Run", "Multi-Region VPC"],
description:
"Managing containerized application lifecycles and software-defined networks to ensure high availability and regional data sovereignty.",
},
{
title: "Provisioning & IaC",
icon: <Terminal size={16} />,
skills: ["Terraform", "Makefiles", "Shell Scripting", "Versioned State"],
description:
"Defining environment state through version-controlled configurations to ensure reproducible, predictable, and audit-ready cloud resources.",
},
{
title: "Deployment Pipelines",
icon: <Zap size={16} />,
skills: [
"GitHub Actions",
"Woodpecker CI",
"Fastlane",
"Automated Testing",
],
description:
"Architecting CI/CD workflows that bridge the gap between local development and production environments with zero-downtime strategies.",
},
{
title: "Governance & Security",
icon: <ShieldCheck size={16} />,
skills: ["NHS DSPT", "Cyber Essentials", "DPIA", "Secret Management"],
description:
"Hardening infrastructure and delivery pipelines to maintain alignment with UK health data standards and government security frameworks.",
},
];
export default function InfrastructurePage() {
return (
<div className="max-w-5xl mx-auto px-6 py-16 font-mono">
{/* Tightened Header */}
<header className="mb-16">
<div className="flex items-center gap-2 mb-3">
<span className="w-1.5 h-1.5 rounded-full bg-blue-500 animate-pulse" />
<h1 className="text-3xl font-bold tracking-tighter text-white uppercase">
Infrastructure and Operationss
</h1>
</div>
<p className="text-neutral-500 max-w-xl leading-relaxed text-sm">
Technical manifest of experiences in cloud orchestration, deployment
pipelines, and security frameworks designed for resilient services in
regulated environments.
</p>
</header>
{/* Tightened Specification List */}
<div className="space-y-6 mb-32">
{CAPABILITIES.map((cap, i) => (
<motion.div
key={cap.title}
initial={{ opacity: 0, y: 10 }}
animate={{ opacity: 1, y: 0 }}
transition={{ delay: i * 0.05, duration: 0.4 }}
className="grid grid-cols-1 md:grid-cols-12 gap-6 border-t border-neutral-800/60 pt-10"
>
<div className="md:col-span-4">
<div className="flex items-center gap-3 text-blue-500/90">
{cap.icon}
<h3 className="text-[10px] font-bold tracking-[0.25em] uppercase">
{cap.title}
</h3>
</div>
</div>
<div className="md:col-span-8">
<p className="text-neutral-400 text-sm leading-relaxed mb-6">
{cap.description}
</p>
<div className="flex flex-wrap gap-x-6 gap-y-2">
{cap.skills.map((skill) => (
<span
key={skill}
className="text-[9px] font-mono text-neutral-600 uppercase tracking-widest"
>
{`// ${skill}`}
</span>
))}
</div>
</div>
</motion.div>
))}
</div>
{/* Corrected Alignment Featured Section */}
<section className="bg-neutral-900/40 border border-neutral-800 p-8 md:p-12 rounded-3xl">
<div className="flex flex-col lg:flex-row lg:items-center justify-between gap-10">
<div className="flex-1">
<h2 className="text-[10px] font-mono text-blue-500 uppercase tracking-[0.3em] mb-4">
Selected Case Study
</h2>
<h3 className="text-xl font-bold text-white mb-3 tracking-tight">
Medical-Grade Architecture Analysis
</h3>
<p className="text-neutral-500 leading-relaxed text-sm max-w-2xl">
An examination of a multi-cloud environment built to satisfy
<span className="text-neutral-300"> UK Cyber Essentials</span> and
<span className="text-neutral-300"> NHS DSPT</span> standards,
focusing on data residency and infrastructure-level security.
</p>
</div>
<div className="shrink-0">
<Link href="/projects/ayla">
<motion.div
whileHover={{
scale: 1.02,
backgroundColor: "#3b82f6",
color: "#fff",
}}
whileTap={{ scale: 0.98 }}
className="px-8 py-4 rounded-xl bg-white text-black font-bold text-[11px] uppercase tracking-[0.2em] flex items-center gap-3 transition-all duration-300"
>
Examine Logic
<Zap size={14} />
</motion.div>
</Link>
</div>
</div>
</section>
</div>
);
}

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@ -181,21 +181,22 @@ export default function Home() {
</Link>
{/* Middle Row: DevOps */}
<Link href="/projects/infrastructure" className="group md:col-span-2">
<Link href="/infrastructure" className="group md:col-span-2">
<motion.div
whileHover={{ y: -5 }}
className="p-6 rounded-3xl bg-neutral-900 border border-neutral-800 h-full flex flex-col justify-between min-h-[260px] relative transition-colors hover:border-green-500/30"
>
<div>
<Server className="text-green-400 w-6 h-6 mb-4" />
<h3 className="font-bold text-xl mb-2">DevOps</h3>
<h3 className="font-bold text-xl mb-2">Infrastructure</h3>
<p className="text-sm text-neutral-500 leading-relaxed">
Managing self-hosted cloud nodes with automated CI/CD
pipelines and proactive monitoring.
Architecting resilient cloud environments with automated IaC,
multi-region orchestration, and high-integrity security
protocols.
</p>
</div>
<div className="flex flex-wrap gap-2 mt-6">
{["Docker", "Woodpecker", "Hetzner", "Linux", "Uptime"].map(
{["Kubernetes", "Terraform", "GCP", "CI/CD", "Security"].map(
(tech) => (
<span
key={tech}

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"use client";
import { useState } from "react";
import { motion, AnimatePresence } from "framer-motion";
import { ArrowRight } from "lucide-react";
import { MobileFrame } from "./MobileFrame";
export default function MobileStack({ images }: { images: string[] }) {
const [currentIndex, setCurrentIndex] = useState(0);
const DRAG_THRESHOLD = -150;
const getRelativeIndex = (index: number) => {
const len = images.length;
return (index - currentIndex + len) % len;
};
const next = () => setCurrentIndex((prev) => (prev + 1) % images.length);
return (
<div className="relative h-[750px] w-full flex flex-col items-center py-20 overflow-hidden group">
<div className="relative h-[650px] w-full flex justify-center items-center">
<AnimatePresence initial={false}>
{images.map((img, index) => {
const relIndex = getRelativeIndex(index);
const isTop = relIndex === 0;
const xOffset = relIndex * 90;
if (relIndex > 5) return null;
return (
<motion.div
key={img}
style={{ zIndex: images.length - relIndex }}
initial={{ opacity: 0, x: 400 }}
animate={{
opacity: 1,
x: isTop ? 0 : xOffset,
scale: isTop ? 1 : 0.96,
filter: isTop ? "brightness(1)" : "brightness(0.4)",
pointerEvents: isTop ? "auto" : "all",
}}
exit={{
x: -1000,
opacity: 0,
transition: { duration: 0.4, ease: "easeIn" },
}}
transition={{
duration: 0.6,
ease: [0.22, 1, 0.36, 1],
}}
whileHover={
!isTop ? { scale: 0.98, filter: "brightness(0.6)" } : {}
}
drag={isTop ? "x" : false}
dragConstraints={{ left: 0, right: 0 }}
dragElastic={0.8}
onDrag={(_, info) => {
if (isTop && info.offset.x < DRAG_THRESHOLD) {
next();
}
}}
onDragEnd={(_, info) => {
// Backup check for quick flicks
if (isTop && info.offset.x < -100) {
next();
}
}}
onClick={() => !isTop && setCurrentIndex(index)}
className="absolute"
>
<div
className={`${isTop ? "cursor-grab active:cursor-grabbing" : "cursor-pointer"}`}
>
<MobileFrame>
<img
src={img}
alt="App Screenshot"
draggable="false"
className="w-full h-full object-cover select-none"
/>
</MobileFrame>
</div>
</motion.div>
);
})}
</AnimatePresence>
{/* Navigation Button */}
<div className="absolute -bottom-12 z-[100]">
<button
onClick={next}
className="flex items-center gap-3 px-6 py-3 rounded-full bg-black/40 backdrop-blur-xl border border-white/5 text-white hover:bg-white/10 transition-all opacity-0 group-hover:opacity-100 group-hover:translate-y-[-20px]"
>
<span className="text-[10px] font-mono uppercase tracking-[0.2em]">
Next Screen
</span>
<ArrowRight size={16} />
</button>
</div>
</div>
</div>
);
}

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@ -265,7 +265,7 @@ graph TB
],
description:
"A social decision-making app that solves 'choice paralysis' by allowing groups to swipe on movies and TV shows, using a real-time matching algorithm to find common interests.",
storyLabel: "UX // MOBILE_SYNCHRONIZATION",
storyLabel: "UX // MOBILE SYNCHRONIZATION",
images: [
"/projects/choosa/choosa-1.jpg",
"/projects/choosa/choosa-2.jpg",
@ -320,42 +320,85 @@ graph LR
classDef hub fill:#f59e0b,stroke:#d97706,color:#fff
`,
},
{
slug: "flutter-1",
slug: "nutriveat",
category: "mobile",
title: "Flutter-1",
subtitle: "Personal R&D Pipeline",
role: "Architect & Creator",
duration: "2025 — Present",
stack: ["Python", "FastAPI", "Next.js", "Redis"],
metrics: ["Sub-50ms Latency", "Automated ETL", "Self-Hosted"],
title: "Nutriveat",
subtitle: "AI-Powered Personalized Nutrition",
role: "Lead Developer & Architect",
duration: "2024 — Present",
stack: [
"Flutter",
"Firebase",
"OpenAI (GPT-4o)",
"Novita AI",
"StoreKit / Play Billing",
],
metrics: [
"Fine-tuned LLM Assistants",
"Direct Store Integrations",
"Multi-Tier Subscriptions",
],
description:
"A data science pipeline tool built to explore high-speed processing and real-time visualization of large datasets.",
images: ["/datasaur-1.jpg"],
repoUrl: "https://git.georgew.dev/georgew/datasaur",
liveUrl: "https://ratoong.com",
engineeringStory:
"In this high-stakes medical environment, I implemented a custom audit logging system that ensured every state change was immutable...",
storyLabel: "DATA EFFICIENCY",
isPrivate: true,
},
{
slug: "flutter-2",
category: "mobile",
title: "Flutter-1",
subtitle: "Personal R&D Pipeline",
role: "Architect & Creator",
duration: "2025 — Present",
stack: ["Python", "FastAPI", "Next.js", "Redis"],
metrics: ["Sub-50ms Latency", "Automated ETL", "Self-Hosted"],
description:
"A data science pipeline tool built to explore high-speed processing and real-time visualization of large datasets.",
images: ["/datasaur-1.jpg"],
repoUrl: "https://git.georgew.dev/georgew/datasaur",
liveUrl: "https://ratoong.com",
engineeringStory:
"In this high-stakes medical environment, I implemented a custom audit logging system that ensured every state change was immutable...",
storyLabel: "DATA EFFICIENCY",
isPrivate: true,
"A comprehensive health and nutrition platform that leverages fine-tuned generative AI to architect personalized meal plans, automate shopping lists, and provide real-time culinary assistance.",
storyLabel: "AI ORCHESTRATION // MONETIZATION",
images: [
"/projects/nutriveat/nutriveat-6.jpg",
"/projects/nutriveat/nutriveat-1.jpg",
"/projects/nutriveat/nutriveat-2.jpg",
"/projects/nutriveat/nutriveat-3.jpg",
"/projects/nutriveat/nutriveat-4.jpg",
"/projects/nutriveat/nutriveat-5.jpg",
],
isPrivate: false,
engineeringStory: `
Nutriveat represents a deep dive into the practical application of Large Language Models (LLMs) in a consumer-facing mobile environment. The goal was to move beyond a standard "chat wrapper" and create a deeply integrated tool that understands the nuance of dietary constraints, kitchen logistics, and user budgets.
#### Fine-Tuned AI & Structured Output
A major engineering hurdle was ensuring the AI generated valid, consistent, and safe meal plans. I implemented a system of fine-tuned system prompts and strict schema validation within **Cloud Functions** to force GPT-4o to return structured data. This allowed the app to take raw AI output and instantly transform it into actionable Firestore documents, shopping list items, and high-fidelity image prompts for **Novita AI**.
#### Native Subscription Architecture
To support the ongoing API costs of generative AI, I architected a robust multi-tier subscription model (Monthly/Annual). I implemented the monetization layer by integrating directly with the **Apple App Store (StoreKit)** and **Google Play Console (Billing Library)**. This involved architecting a custom server-side validation system in Cloud Functions to handle real-time subscription status, grace periods, and cross-platform entitlement logic without the use of third-party middleware.
#### Context-Aware Culinary Assistance
I developed a specialized AI Chatbot designed to function as a "Kitchen Assistant." Unlike general-purpose bots, this assistant is provided with the specific context of the user's current meal plan, dietary allergies, and available utensils. By using **RAG-lite (Retrieval-Augmented Generation)** principles, the bot can provide accurate unit conversions and tailored cooking instructions that respect the user's specific kitchen setup.
`,
mermaidChart: `
graph LR
subgraph Client_Mobile [Flutter Frontend]
A[Mobile App]:::traffic
end
subgraph Firebase_Backend [Control Plane]
Hub((Firebase SDK)):::hub
C[Firestore DB]:::node
D[Cloud Functions]:::node
end
subgraph AI_Orchestration [Intelligence Layer]
F[OpenAI / GPT-4o]:::node
G[Novita AI / Stable Diffusion]:::node
end
subgraph Store_Integrations [Native Billing]
H[App Store / Play Store]:::traffic
end
A <--> Hub
Hub <--> C
Hub --> D
D ==>|Fine-tuned Prompts| F
D ==>|Image Generation| G
F -.->|JSON Parsing| D
A <-->|Native IAP Flow| H
H -.->|Server-to-Server Hooks| D
classDef traffic fill:#2563eb,stroke:#3b82f6,color:#fff
classDef node fill:#16a34a,stroke:#22c55e,color:#fff
classDef hub fill:#f59e0b,stroke:#d97706,color:#fff
`,
},
];

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