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import { Job, ExperienceStage, Project, KnowledgeItem, ArticleItem, LabItem, GraphData } from './types';
export const NAV_LINKS = [
{ name: 'About', href: '#about' },
{ name: 'Experience', href: '#experience' },
{ name: 'Skills & Data', href: '#skills' },
{ name: 'Projects', href: '#projects' },
{ name: 'Writing', href: '#writing' },
];
export const SOCIAL_LINKS = {
email: 'andreydunaev1@gmail.com',
linkedin: 'https://www.linkedin.com/in/andreydunaev',
phone: '+381698015343'
};
export const JOBS: Job[] = [
{
id: 'comita',
company: 'Comita Technics',
title: 'Chief Engineering Expert (Planning, Monitoring & Reporting)',
period: 'Aug 2025 — Present',
location: 'Serbia',
description: [
'Coordinate engineering activities, project monitoring, reporting, RFQ documentation, vendor communication, and follow-up control for energy infrastructure projects.',
'Connect clients, design institutes, subcontractors, vendors, and internal teams through structured documentation, planning discipline, and reliable reporting.',
'Prepare and coordinate RFQ packages, support technical clarifications, review vendor inputs, and monitor open issues through closure.',
'Developed a Python/Django-based internal system for meeting protocols, issue tracking, action item control, task filtering, discussion history, and automated XLSX reporting.',
'Built tools for maintenance report processing, documentation package preparation, file sorting, Excel-template population, archive generation, and structured logging.'
],
technologies: ['Python', 'Django', 'RFQ Packages', 'Vendor Coordination', 'Issue Tracking', 'XLSX Reporting']
},
{
id: 'idc-2',
company: 'IDC d.o.o.',
title: 'Chief Engineering Expert (Project Management)',
period: 'Mar 2022 — Aug 2025',
location: 'Belgrade, Serbia',
description: [
'Provided comprehensive technical support for project and operational documentation, including pre-commissioning for main gas pipelines and compressor stations.',
'Reviewed subcontractor reports, monitored recurring maintenance issues, and automated comment sheet generation with Python.',
'Developed Python-based graphical tools for big data trend analysis and equipment status monitoring.',
'Created detailed equipment maintenance checklists based on manufacturer documentation.',
'Prepared analytical data and technical conclusions for EPC contract documentation to resolve disputes.',
'Produced ~120 visual analytical reports comparing design vs. as-built conditions for legal claims.',
'Updated ~350 as-built documents, including mechanical drawings, electrical diagrams, instrumentation, automation tables, and settings.'
],
technologies: ['Python', 'Big Data', 'EPC Contracts', 'As-built Docs', 'Checklist Automation']
},
{
id: 'idc-1',
company: 'IDC d.o.o.',
title: 'Chief Engineering Expert (Implementation)',
period: 'Mar 2019 — Mar 2022',
location: 'Belgrade, Serbia',
description: [
'Coordinated implementation of a 400km main gas pipeline and compressor station.',
'Oversaw FEED documentation and Detailed Design finalization.',
'Managed coordination among design institutes (Saipem, Giprogaztsentr, etc.), processing ~20,000 documents.',
'Implemented MDR/MDI procedures for automated data storage.',
'Coordinated RFQ processes, procurement packages, and vendor relations to align manufacturers with project requirements.',
'Participated in HAZOP reviews and ensured PED, ATEX, Ex, CE compliance.'
],
technologies: ['Project Coordination', 'FEED', 'RFQ', 'MDR/MDI', 'Vendor Management']
},
{
id: 'gazprom',
company: 'OOO "Gazprom Invest"',
title: 'Junior Project Coordinator',
period: 'Sep 2015 — Sep 2017',
location: 'St. Petersburg, Russia',
description: [
'Coordinated a portfolio of 8+ large-scale gas infrastructure projects valued between $30M and $23B.',
'Boosted forecast accuracy by 5-10% through validated cost estimates.',
'Reduced potential timeline slippage by 5-10% through early risk identification.',
'Maintained ~250 stakeholder meetings with a 93-95% action item completion rate.'
],
technologies: ['Portfolio Management', 'Risk Assessment', 'Cost Estimation', 'Stakeholder Mgmt']
},
{
id: 'kuban',
company: 'Kubanvodproekt OJSC',
title: 'Lead Design Engineer',
period: 'Oct 2014 — Aug 2015',
location: 'Krasnodar, Russia',
description: [
'Participated in creating a new trunk pipeline design department.',
'Performed technical expertise of design solutions to optimize costs.',
'Provided technical support to customer inspectors.'
],
technologies: ['Trunk Pipelines', 'Design Optimization', 'Department Setup']
},
{
id: 'yuzh-1',
company: 'YUZHNIIGIPROGAZ PJSC',
title: 'Lead Design Engineer',
period: 'Aug 2006 — Oct 2014',
location: 'Donetsk, Ukraine',
description: [
'Worked on "South Stream" and "Bovanenkovo–Ukhta" GTS.',
'Implemented 3D design solutions increasing productivity by 50%.',
'Optimized design processes by linking Excel and AutoCAD.',
'Designed intake terminals, pig launcher/receivers, and valve assemblies in SolidWorks.'
],
technologies: ['SolidWorks', 'AutoCAD', '3D Modeling', 'South Stream', 'Excel Automation']
}
];
export const EXPERIENCE_STAGES: ExperienceStage[] = [
{
id: 'delivery',
jobIds: ['comita', 'idc-2', 'idc-1'],
},
{
id: 'coordination',
jobIds: ['gazprom'],
},
{
id: 'design',
jobIds: ['kuban', 'yuzh-1'],
},
];
export const PROJECTS: Project[] = [
{
id: 'engineering-process-management-system',
title: 'Meeting Protocol Tracker (MPT)',
description: 'An internal system for managing meeting protocols, engineering issues, and action items. It provides organization-based filtering, discussion history, responsibility and status tracking, and automated XLSX reporting. The repository contains the source code; no public application instance or operational data is available.',
tools: ['Python', 'Django', 'Issue Tracking', 'Action Items', 'XLSX Reporting'],
link: 'https://github.com/Dun4ev/Protocol',
image: '/images/projects/meeting-protocol-tracker.png',
category: 'Internal Tool',
role: 'Creator',
status: 'Source Code / No Public Demo',
impact: 'Improves traceability of decisions and responsibilities while reducing missed actions and repetitive reporting work'
},
{
id: 'geofuse',
title: 'GeoFuse',
description: 'A web product for evaluating business locations before signing a lease. GeoFuse combines OSM and Overpass, Google Places when available, Overture and PostGIS building and POI layers, saved-location comparison, source-aware estimates, and decision-ready reports.',
tools: ['React', 'TypeScript', 'Geospatial Analytics', 'PostGIS', 'Supabase'],
link: 'https://geofuse-gamma.vercel.app/',
image: '/images/projects/geofuse-public-beta.png',
category: 'Product / Geo Analytics',
role: 'Product Design & Development',
status: 'Public Beta',
impact: 'Turns fragmented geospatial data into a structured, source-aware workflow for comparing business locations'
},
{
id: 'auto-comment-sheets',
title: 'TOiR Reporting Automation',
description: 'A Python-based automation tool designed to streamline the creation of engineering reports and technical documentation.',
tools: ['Python', 'Pandas', 'OpenPyXL', 'Automation'],
link: 'https://github.com/Dun4ev/toir_tra_report',
image: '/images/projects/toir-reporting-automation.jpg',
category: 'Automation',
role: 'Creator',
status: 'Production-ready',
impact: 'Reduced routine report preparation from minutes to seconds'
},
{
id: 'pipeline-analytics',
title: 'TOiR Documentation Dispatcher',
description: 'An intelligent Python utility for automatically distributing incoming project PDF reports into target directories with automated transliteration and logging.',
tools: ['Python', 'Tkinter', 'JSONL', 'Automation'],
link: 'https://github.com/Dun4ev/toir_raspredelenije_report',
image: '/images/projects/pipeline-analytics.png',
category: 'Documentation',
role: 'Creator',
status: 'Internal tool',
impact: 'Automated PDF routing and operation logging for engineering document flows'
},
{
id: 'graf-html',
title: 'Interactive Trend Visualization',
description: 'A Python/Dash tool for analyzing HVAC trend data exported from SCADA systems. It converts CSV and Excel measurements into interactive multi-signal charts, helping engineers compare equipment behavior, identify dependencies, and investigate anomalies.',
tools: ['Python', 'Dash', 'Plotly', 'Pandas'],
link: 'https://github.com/Dun4ev/graf_html',
image: '/images/projects/interactive-trend-visualization.png',
category: 'Data Visualization',
role: 'Creator',
status: 'Reusable toolkit',
impact: 'Simplifies HVAC trend analysis and helps reveal relationships between system parameters without manually building charts'
},
{
id: 'portfolio-v2',
title: 'AI-Powered PDF Search Engine',
description: 'A semantic search and question-answering system for PDF documents using RAG architecture and LLMs.',
tools: ['Python', 'LLM', 'RAG', 'FAISS', 'LangChain'],
link: 'https://github.com/Dun4ev/ai-pdf-search-system',
image: '/images/projects/portfolio-website.png',
category: 'AI / RAG',
role: 'Creator',
status: 'Prototype',
impact: 'Turns local technical PDFs into searchable, grounded answers'
},
{
id: 'bb-invest-website',
title: 'BB INVEST Real Estate Website',
description: 'A client website for a residential developer in Velika Plana, designed to turn a complex property portfolio into a clear buyer journey. The trilingual experience presents projects, apartment layouts and availability, construction progress, buying steps, location details, FAQs, and direct inquiry forms.',
tools: ['HTML', 'CSS', 'JavaScript', 'Responsive Design', 'SR / EN / RU'],
link: 'https://bbinvest.rs/',
image: '/images/projects/bb-invest-website.webp',
category: 'Client Website',
role: 'Design & Development',
status: 'Live',
impact: 'Gives buyers one clear path from exploring a property to sending a direct inquiry'
},
{
id: 'krasnova-residence-website',
title: 'Krasnova Residence Website',
description: 'A premium presentation website developed for a residential project in Vracar, Belgrade. It combines video-led storytelling with an interactive floor selector, detailed plans, real photo galleries, building technologies, location context, and direct inquiry forms.',
tools: ['HTML', 'CSS', 'JavaScript', 'Responsive Design', 'SR / EN'],
link: 'https://krasnovresidence.rs/',
image: '/images/projects/krasnova-residence-website.webp',
category: 'Client Website',
role: 'Design & Development',
status: 'Live',
impact: 'Turns architectural, technical, and sales materials into a focused digital presentation for prospective buyers'
},
{
id: 'natalya-psychologist-website',
title: 'Psychologist Natalya Website',
description: 'A client website for a practicing psychologist in Rostov-on-Don, designed to present consultation topics, formats, pricing, and contact options in a calm and accessible journey. The launch included a custom domain, responsive static delivery, local SEO, Yandex Webmaster verification, canonical metadata, structured data, robots.txt, and sitemap.xml.',
tools: ['React', 'TypeScript', 'Vinext', 'Responsive Design', 'SEO'],
link: 'https://natalyapsiholog.ru/',
image: '/images/projects/natalya-psychologist-website.png',
category: 'Client Website',
role: 'Design, Development & Launch',
status: 'Live',
impact: 'Delivered the complete path from content and interface design to domain launch, Yandex verification, and search-ready technical indexing'
}
];
export const KNOWLEDGE_ITEMS: KnowledgeItem[] = [
{
id: 'karpathy-agent-guide',
title: 'Software Engineering Agent Guide',
description: 'A visual guide to working with AI coding agents: task definition, planning, iterative delivery, quality checks, integration, and follow-up improvement loops.',
category: 'AI Agents',
format: 'Interactive HTML',
href: '/knowledge-base/karpathy-agent-guide/index.html',
tags: ['AI Agents', 'Coding Workflow', 'Delivery', 'Quality Checks']
}
];
export const ARTICLES: ArticleItem[] = [
{
id: 'epc-document-flow',
title: 'AI-Assisted EPC Document Review Animation',
description: 'A bilingual, 24-second visual note showing how AI supports vendor-document review within EPC: classification, requirement checks, inconsistency detection, initial comments, and consolidation of stakeholder feedback before EPC issues the reply.',
category: 'AI-Assisted Engineering Review',
date: 'Sep 16, 2026',
readTime: '24 sec demo',
href: `${import.meta.env.BASE_URL}demos/epc-document-flow/?lang=en`,
image: '/images/articles/epc-document-flow.png',
tags: ['EPC', 'AI Analysis', 'Document Review', 'RU / EN'],
highlight: 'Vendor → EPC → AI analysis → stakeholder review → AI consolidation → EPC reply'
},
{
id: 'agent-incident-map',
title: 'The OpenAI × Hugging Face Incident: An Agent Action Map',
description: 'An interactive forensic reconstruction of how isolated agents built a covert message board, coordinated reward-hacking research, and escalated into an attack on Hugging Face infrastructure.',
category: 'AI Safety & Agents',
date: 'Aug 29, 2026',
readTime: '18 min read',
href: '/articles/agent-incident-map/',
tags: ['AI Agents', 'AI Safety', 'Incident Analysis', 'Interactive'],
highlight: 'Seven days of coordination, spoofing, lateral movement, and the safeguards that failed'
},
{
id: 'ai-architectural-presentation',
title: 'From Idea to Concept Site in Hours: AI and Early Architectural Presentation',
description: 'How AI can turn an early architectural idea into a presentable digital pitch with images, video, narrative structure, and a shareable website.',
category: 'AI & Architecture',
date: 'Apr 30, 2026',
readTime: '3 min read',
href: 'https://medium.com/@andreydunaev1/from-idea-to-concept-site-in-hours-ai-and-early-architectural-presentation-c10aadc681a9',
tags: ['AI', 'Architecture', 'Website', 'Concept'],
highlight: 'Idea -> images -> video -> landing page -> publication'
},
{
id: 'pdf-busywork-automation',
title: 'How We Tamed `.pdf` and Saved Hours of Busywork',
description: 'A practical story about replacing manual PDF folder handling with a Python conveyor, structured logs, flexible paths, and operator-friendly automation.',
category: 'Automation',
date: 'Nov 12, 2025',
readTime: '4 min read',
href: 'https://medium.com/@andreydunaev1/how-we-tamed-pdf-and-saved-hours-of-busywork-c131a65ad1e5',
tags: ['Python', 'PDF', 'Documentation', 'Workflow'],
highlight: '59 reports: from 25 minutes of focus to one controlled run'
},
{
id: 'it-levels-l0-l11',
title: 'IT levels, what L0-L11 levels are hiding in large companies',
description: 'A compact explanation of engineering career levels, responsibilities, impact, compensation ranges, and what usually signals readiness for the next step.',
category: 'Career Frameworks',
date: 'Jul 23, 2025',
readTime: '3 min read',
href: 'https://medium.com/@andreydunaev1/it-levels-what-l0-l11-levels-are-hiding-in-large-companies-7ba457d8021e',
tags: ['Career', 'Engineering Levels', 'Leadership', 'Growth'],
highlight: 'L0-L11 as a map of responsibility, influence, and impact'
}
];
export const LABS: LabItem[] = [
{
id: 'slotbot-booking-landing',
title: 'SlotBot: Telegram Booking Landing',
description: 'A static landing page concept for a Telegram-based booking assistant: clients browse services, prices, and available slots, then book directly through Telegram.',
category: 'Interactive Demo',
date: 'May 2026',
href: 'https://dun4ev.github.io/slotbot-booking-landing/',
image: '/images/projects/slotbot-booking-landing.png',
tags: ['HTML', 'Telegram Bot', 'Booking Automation'],
status: 'Live demo',
highlight: 'Shows how a lightweight website can connect with Telegram booking and reduce manual scheduling.'
},
{
id: 'electricity-theft-detector',
title: 'EnergyGuard AI: Electricity Theft Detector',
description: 'An interactive MVP concept for non-invasive electricity theft detection using feeder balance, pole-mounted split sensors, UAV thermal inspection, GIS topology, and AI-assisted anomaly localization.',
category: 'Engineering Concept',
date: 'May 2026',
href: 'https://dun4ev.github.io/electricity-theft-detector/index.html',
image: '/images/projects/electricity-theft-detector.png',
tags: ['Energy Analytics', 'GIS', 'AI Concept'],
status: 'MVP concept',
highlight: 'Demonstrates a practical architecture for detecting commercial electricity losses through remote monitoring.'
},
{
id: 'vegaboost-business-overview',
title: 'VegaBoost Business Overview',
description: 'A lightweight business presentation site for quickly explaining a product idea, commercial logic, and key project signals in a shareable format.',
category: 'Business Presentation',
date: 'Jun 2026',
href: 'https://vegaboost-business-overview.netlify.app/',
image: '/images/projects/vegaboost-business-overview.png',
tags: ['Business Overview', 'Presentation Site', 'Netlify'],
status: 'Live demo',
highlight: 'Turns a compact business concept into a clear web-based presentation.'
},
{
id: 'tank-nitrogen-blanketing',
title: 'Tank Nitrogen Blanketing',
description: 'An interactive engineering report about nitrogen blanketing for atmospheric storage tanks, including process physics, pressure limits, safety notes, and economic reasoning.',
category: 'Engineering Report',
date: 'May 2026',
href: 'https://dun4ev.github.io/2026-05-26_tank-nitrogen-blanketing/',
image: '/images/projects/tank-nitrogen-blanketing.png',
tags: ['Engineering', 'Interactive Report', 'Storage Tanks'],
status: 'Published',
highlight: 'Combines technical explanation, interactive presentation, and decision support.'
}
];
export const D3_DATA: GraphData = {
nodes: [
// Groups: 1=Engineering, 2=Data/Tech, 3=Management
{ id: "Engineering", group: 1, radius: 30 },
{ id: "Project Mgmt", group: 3, radius: 25 },
{ id: "Data & AI", group: 2, radius: 25 },
// Engineering
{ id: "Gas Pipelines", group: 1, radius: 18 },
{ id: "Compressor St.", group: 1, radius: 18 },
{ id: "UGS", group: 1, radius: 14 },
{ id: "FEED", group: 1, radius: 15 },
{ id: "Detailed Design", group: 1, radius: 15 },
{ id: "HAZOP", group: 1, radius: 12 },
{ id: "Regulatory", group: 1, radius: 15 }, // PED, ATEX, CE
{ id: "3D Modeling", group: 1, radius: 15 },
// Tech / Tools
{ id: "Python", group: 2, radius: 18 },
{ id: "Big Data", group: 2, radius: 15 },
{ id: "Power Query", group: 2, radius: 15 },
{ id: "Automation", group: 2, radius: 18 },
{ id: "Prompt Eng", group: 2, radius: 15 },
{ id: "Django", group: 2, radius: 12 },
{ id: "AutoCAD", group: 1, radius: 12 },
{ id: "SolidWorks", group: 1, radius: 12 },
{ id: "Kompas 3D", group: 1, radius: 10 },
// Management
{ id: "EPC Contracts", group: 3, radius: 15 },
{ id: "Stakeholder Mgmt", group: 3, radius: 15 },
{ id: "RFQ Packages", group: 3, radius: 14 },
{ id: "Vendor Docs", group: 3, radius: 14 },
{ id: "Issue Tracking", group: 3, radius: 14 },
{ id: "Planning & Reporting", group: 3, radius: 14 },
{ id: "Risk Mgmt", group: 3, radius: 12 },
{ id: "Doc Control", group: 3, radius: 12 }, // MDR/MDI
{ id: "Cost Est.", group: 3, radius: 12 }
],
links: [
// Engineering Center
{ source: "Engineering", target: "Gas Pipelines", value: 5 },
{ source: "Engineering", target: "Compressor St.", value: 5 },
{ source: "Engineering", target: "UGS", value: 3 },
{ source: "Engineering", target: "FEED", value: 4 },
{ source: "Engineering", target: "Detailed Design", value: 4 },
{ source: "Engineering", target: "Regulatory", value: 3 },
{ source: "Engineering", target: "3D Modeling", value: 4 },
{ source: "Engineering", target: "HAZOP", value: 3 },
// 3D Modeling Tools
{ source: "3D Modeling", target: "AutoCAD", value: 3 },
{ source: "3D Modeling", target: "SolidWorks", value: 3 },
{ source: "3D Modeling", target: "Kompas 3D", value: 2 },
// Mgmt Center
{ source: "Project Mgmt", target: "Engineering", value: 5 },
{ source: "Project Mgmt", target: "EPC Contracts", value: 4 },
{ source: "Project Mgmt", target: "Stakeholder Mgmt", value: 4 },
{ source: "Project Mgmt", target: "RFQ Packages", value: 4 },
{ source: "Project Mgmt", target: "Vendor Docs", value: 4 },
{ source: "Project Mgmt", target: "Issue Tracking", value: 4 },
{ source: "Project Mgmt", target: "Planning & Reporting", value: 4 },
{ source: "Project Mgmt", target: "Risk Mgmt", value: 3 },
{ source: "Project Mgmt", target: "Doc Control", value: 3 },
{ source: "Project Mgmt", target: "Cost Est.", value: 3 },
// Data Center
{ source: "Data & AI", target: "Python", value: 5 },
{ source: "Data & AI", target: "Big Data", value: 4 },
{ source: "Data & AI", target: "Power Query", value: 4 },
{ source: "Data & AI", target: "Automation", value: 5 },
{ source: "Data & AI", target: "Prompt Eng", value: 4 },
{ source: "Data & AI", target: "Django", value: 3 },
// Cross-Domain
{ source: "Automation", target: "Doc Control", value: 4 }, // Python for docs
{ source: "Automation", target: "Engineering", value: 3 }, // Checklists
{ source: "Automation", target: "Issue Tracking", value: 3 },
{ source: "Vendor Docs", target: "RFQ Packages", value: 3 },
{ source: "Big Data", target: "Risk Mgmt", value: 3 }, // Analytics for risk
{ source: "Data & AI", target: "Project Mgmt", value: 3 },
{ source: "Regulatory", target: "Doc Control", value: 2 },
]
};
export const SKILL_METRICS = [
{ name: 'three_d', value: 95, fullMark: 100 },
{ name: 'experience', value: 90, fullMark: 100 },
{ name: 'design', value: 75, fullMark: 100 },
{ name: 'documents', value: 85, fullMark: 100 },
{ name: 'updates', value: 80, fullMark: 100 },
{ name: 'lifecycle', value: 85, fullMark: 100 },
];