feat: update portfolio website
This commit is contained in:
emil28092005
+65
-86
@@ -1,112 +1,91 @@
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export const resume = {
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name: 'Emil Shanayev',
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handle: 'emil28092005',
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role: ['DevOps Engineer', 'Backend Developer', 'Infrastructure Nerd'],
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bio: 'Building reliable systems from first principles. Specializing in Python/FastAPI, container orchestration, and Linux infrastructure. Student at Innopolis University (DSAI program).',
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eyebrow: 'AI systems · scientific software · infrastructure',
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role: 'AI Systems & Scientific Software Developer',
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bio: 'I build technical products at the intersection of scientific computing, AI-native software and systems engineering — from molecular similarity tools to a Vulkan renderer and production-oriented backend infrastructure.',
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location: 'Russia',
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availability: 'Open to internships, research collaborations and engineering projects',
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contacts: [
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{ label: 'GitHub', value: 'emil28092005', href: 'https://github.com/emil28092005' },
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{ label: 'Email', value: 'emil28092005@gmail.com', href: 'mailto:emil28092005@gmail.com' },
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{ label: 'Telegram', value: '@emilshanaty', href: 'https://t.me/emilshanaty' },
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],
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capabilities: [
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{
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label: 'GitHub',
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handle: 'emil28092005',
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href: 'https://github.com/emil28092005',
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prefix: 'github.com/',
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index: '01',
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title: 'Scientific software',
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text: 'Molecular data processing, cheminformatics workflows, numerical methods and reproducible command-line tools.',
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stack: ['Python', 'RDKit', 'ChEMBL', 'NumPy', 'Flask'],
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},
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{
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label: 'Email',
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handle: 'emil28092005@gmail.com',
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href: 'mailto:emil28092005@gmail.com',
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prefix: '',
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index: '02',
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title: 'AI-native systems',
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text: 'MCP integrations, local model tooling, persistent model state and human-in-the-loop workflows.',
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stack: ['MCP', 'LLM APIs', 'PyTorch', 'SSM / Mamba', 'Computer Vision'],
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},
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{
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label: 'Telegram',
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handle: '@emilshanaty',
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href: 'https://t.me/emilshanaty',
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prefix: 't.me/',
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index: '03',
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title: 'Systems & infrastructure',
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text: 'Performance-oriented engines, backend services and the infrastructure needed to ship and operate them.',
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stack: ['C# / .NET', 'Vulkan', 'Go', 'Docker', 'Jenkins', 'Linux'],
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},
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],
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skills: [
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{
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category: 'SYSTEM',
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items: ['Linux', 'Bash', 'SSH', 'Nginx', 'systemd', 'Vim'],
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},
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{
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category: 'LANGUAGES',
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items: ['Python', 'Go', 'TypeScript', 'JavaScript', 'Java', 'C#'],
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},
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{
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category: 'BACKEND',
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items: ['FastAPI', 'asyncio', 'PostgreSQL', 'Redis', 'SQLite'],
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},
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{
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category: 'CONTAINERS',
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items: ['Docker', 'Compose', 'Kubernetes', 'Helm', 'Harbor'],
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},
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{
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category: 'CI / CD',
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items: ['GitHub Actions', 'Jenkins', 'GitLab CI'],
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},
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{
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category: 'CLOUD',
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items: ['Yandex Cloud', 'VPS', 'Server Admin'],
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},
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{
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category: 'AI / LLM',
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items: ['OpenAI API', 'Claude API', 'LangChain', 'Perplexity'],
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},
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{
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category: 'TOOLING',
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items: ['Git', 'Agile', 'Scrum', 'Jira'],
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},
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],
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projects: [
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{
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id: '01',
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title: 'FastAPI Async Platform',
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description:
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'High-performance async REST API built with FastAPI and PostgreSQL. Features Redis caching, Docker containerization, and Nginx reverse proxy on a Linux VPS.',
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tech: ['Python', 'FastAPI', 'PostgreSQL', 'Redis', 'Docker', 'Nginx'],
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href: 'https://github.com/emil28092005',
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status: 'deployed' as const,
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number: '01',
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name: 'Cortex Engine',
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kind: 'AI-native 3D engine',
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description: 'A 3D engine with a pure P/Invoke Vulkan 1.3 renderer, PBR shading, cubemap-array shadows, Jolt physics and Flecs ECS. An MCP interface exposes scene operations to AI agents, including object creation, transforms and screenshots.',
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highlights: ['Pure Vulkan 1.3 backend', 'PBR + multi-light shadows', 'Playable FPS demo', '7 MCP scene tools'],
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tech: ['C#', '.NET 9', 'Vulkan', 'SDL3', 'Jolt', 'Flecs', 'MCP'],
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href: 'https://github.com/emil28092005/Cortex_Engine',
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},
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{
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id: '02',
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title: 'K8s Infrastructure',
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description:
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'Production-grade Kubernetes cluster with Helm chart management, Harbor private container registry, and full CI/CD automation via GitHub Actions.',
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tech: ['Kubernetes', 'Helm', 'Harbor', 'GitHub Actions', 'Docker'],
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href: 'https://github.com/emil28092005',
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status: 'deployed' as const,
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number: '02',
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name: 'SciMesh',
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kind: 'Scientific computing framework',
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description: 'A local Python framework for exact molecular similarity search and sparse similarity-graph construction over ChEMBL-style datasets. It streams input data, bounds top-k memory use and avoids dense N×N similarity matrices.',
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highlights: ['Morgan fingerprints', 'Exact Tanimoto search', 'Block-wise graph construction', 'Tested CLI package'],
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tech: ['Python', 'RDKit', 'ChEMBL', 'Pytest'],
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href: 'https://github.com/emil28092005/SciMesh',
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},
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{
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id: '03',
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title: 'Jenkins CI/CD Pipeline',
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description:
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'End-to-end automated pipeline — testing, Docker image builds, registry push, and zero-downtime rolling deployments on Linux servers.',
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tech: ['Jenkins', 'Docker', 'Bash', 'Linux'],
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href: 'https://github.com/emil28092005',
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status: 'shipped' as const,
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number: '03',
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name: 'Bioportal Lab',
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kind: 'Laboratory CV prototype',
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description: 'A Russian-language prototype for microbiology workflows. PetriCount combines multi-scale computer-vision candidates, a Random Forest classifier and manual correction to support colony counting from Petri-dish images.',
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highlights: ['Image upload workflow', 'Trainable CV baseline', 'Manual result correction', 'Local analysis API'],
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tech: ['Python', 'Flask', 'OpenCV', 'scikit-learn', 'JavaScript'],
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href: 'https://github.com/emil28092005/Bioportal-lab',
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},
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{
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id: '04',
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title: 'LLM API Microservice',
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description:
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'Microservice integrating OpenAI and Claude APIs with async task queuing, per-user rate limiting, and response caching to minimize costs.',
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tech: ['Python', 'FastAPI', 'Redis', 'OpenAI API', 'Claude API'],
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href: 'https://github.com/emil28092005',
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status: 'wip' as const,
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number: '04',
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name: 'Shagram',
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kind: 'Backend & DevOps system',
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description: 'A real-time WebSocket chat used as an end-to-end infrastructure project: JWT authentication, SQLite persistence, containerized delivery, TLS termination and a Jenkins pipeline connected to a private Harbor registry.',
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highlights: ['WebSocket rooms', 'JWT + origin validation', 'Multi-stage containers', 'Automated CI/CD on VPS'],
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tech: ['Go', 'Gin', 'WebSocket', 'Docker', 'Nginx', 'Jenkins', 'Harbor'],
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href: 'https://github.com/emil28092005/shagram',
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},
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{
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number: '05',
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name: 'Memba + memwalk',
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kind: 'Experimental model memory',
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description: 'An experimental stack for saving and restoring persistent state in SSM-based language models. memwalk builds on memba to digest codebases once, cache model state and answer later questions without repeatedly ingesting the same repository.',
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highlights: ['Portable state snapshots', 'C and Python APIs', 'Manifest-based cache invalidation', 'MCP server for codebase queries'],
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tech: ['C++', 'Python', 'CMake', 'llama.cpp', 'Mamba / SSM', 'MCP'],
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href: 'https://github.com/emil28092005/Memba',
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secondaryHref: 'https://github.com/emil28092005/memwalk',
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},
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],
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tools: [
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{ name: 'Soundgen', note: 'Rust-based 8-bit sound synthesis and feedback tooling', href: 'https://github.com/emil28092005/Soundgen' },
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{ name: 'KimiFleet', note: 'Visible multi-agent orchestrator over ACP and MCP', href: 'https://github.com/emil28092005/KimiFleet' },
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{ name: 'Imagen', note: 'Local text-to-sprite MCP pipeline with rating workflow', href: 'https://github.com/emil28092005/Imagen' },
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{ name: 'MoME', note: 'Sparse-gated personal memory plugin for Hermes Agent', href: 'https://github.com/emil28092005/hermes-plugin-mome' },
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],
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education: {
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institution: 'Innopolis University',
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program: 'Data Structures and Artificial Intelligence (DSAI)',
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note: 'Product Management elective — A grade',
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},
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} as const
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export type Project = (typeof resume.projects)[number]
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export type SkillGroup = (typeof resume.skills)[number]
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export type Contact = (typeof resume.contacts)[number]
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