{
  "name": "Emil Shanayev",
  "eyebrow": "Backend, DevOps, AI systems, scientific computing and game tech",
  "role": "Backend, DevOps & AI Systems Developer",
  "bio": "I build AI-native products, backend services and the infrastructure to run them: from Python/FastAPI and Go services, WebSocket APIs and containerised CI/CD pipelines to distributed molecular workloads, LLM-controlled worlds and a Vulkan game engine. I run self-hosted services on my own Linux servers.",
  "location": "Russia",
  "availability": "Open to internships, part-time or project work. Remote, hybrid or on-site.",
  "contacts": [
    {
      "label": "Email",
      "value": "emil28092005@yandex.ru",
      "href": "mailto:emil28092005@yandex.ru",
      "note": "preferred"
    },
    {
      "label": "Email, alternative",
      "value": "emil28092005@gmail.com",
      "href": "mailto:emil28092005@gmail.com"
    },
    {
      "label": "Telegram",
      "value": "@emilshanaty",
      "href": "https://t.me/emilshanaty"
    },
    {
      "label": "GitHub",
      "value": "emil28092005",
      "href": "https://github.com/emil28092005"
    },
    {
      "label": "Gitea",
      "value": "git.shanaty.ru/Emil_Shanaty",
      "href": "https://git.shanaty.ru/Emil_Shanaty"
    }
  ],
  "skills": [
    {
      "title": "Backend & web",
      "text": "Asynchronous REST and WebSocket services, database design and query optimisation.",
      "stack": [
        "Python",
        "FastAPI",
        "asyncio",
        "Go",
        "Rust",
        "TypeScript",
        "SQL",
        "PostgreSQL",
        "SQLite",
        "Redis",
        "WebSocket",
        "JSON-RPC",
        "Java (basic)"
      ]
    },
    {
      "title": "DevOps & infrastructure",
      "text": "Containerised delivery, CI/CD automation and day-to-day Linux server administration.",
      "stack": [
        "Docker",
        "docker-compose",
        "Kubernetes",
        "GitHub Actions",
        "Jenkins",
        "Harbor",
        "Linux",
        "Bash",
        "VPS",
        "Debian",
        "Ubuntu"
      ]
    },
    {
      "title": "AI-native systems",
      "text": "Agent protocols, recursive research teams, MCP integrations and human-in-the-loop feedback systems.",
      "stack": [
        "MCP",
        "ACP / JSON-RPC",
        "LLM APIs",
        "TypeScript",
        "Python"
      ]
    },
    {
      "title": "Scientific software",
      "text": "Molecular data processing, cheminformatics workloads, deterministic pipelines and reproducible command-line tools.",
      "stack": [
        "Python",
        "RDKit",
        "ChEMBL",
        "Go",
        "PostgreSQL"
      ]
    },
    {
      "title": "Graphics & game tech",
      "text": "Performance-oriented engines, native audio tools and 3D content pipelines.",
      "stack": [
        "C# / .NET",
        "Vulkan",
        "Unity",
        "Blender",
        "Rust",
        "C++"
      ]
    },
    {
      "title": "Team & process",
      "text": "Leading small teams, Agile/Scrum coordination and clear communication with stakeholders.",
      "stack": [
        "Agile",
        "Scrum",
        "Team leading",
        "Git",
        "GitHub"
      ]
    }
  ],
  "experience": [
    {
      "title": "Independent projects & self-directed engineering",
      "meta": "Ongoing",
      "points": [
        "Full-featured asynchronous backend applications in Python/FastAPI.",
        "Containerised applications with Docker, deployed to Kubernetes.",
        "CI/CD pipelines with GitHub Actions for automated testing and deployment.",
        "Administration of Linux servers (Debian VPS) and self-hosted services.",
        "Databases in practice: SQLite, Redis, PostgreSQL."
      ]
    },
    {
      "title": "Team experience",
      "meta": "University and agency-style projects",
      "points": [
        "Led teams in university projects and managed a team in an agency-style setting.",
        "Worked in Agile environments using Scrum; task distribution and coordination.",
        "Regular communication with team members and stakeholders."
      ]
    }
  ],
  "education": [
    {
      "period": "2026 to 2030",
      "institution": "HSE University, Moscow",
      "program": "Bachelor’s programme in Game and Digital Product Development. First year."
    },
    {
      "period": "2023 to 2025",
      "institution": "Innopolis University",
      "program": "Data Structures and Artificial Intelligence (DSAI). Two years, higher education not completed."
    }
  ],
  "languages": [
    {
      "name": "Russian",
      "level": "Native"
    },
    {
      "name": "English",
      "level": "C1"
    }
  ],
  "interests": [
    "DevOps and Infrastructure as Code",
    "high-load backend systems",
    "Linux and systems administration",
    "computer graphics and game development",
    "open source",
    "learning from documentation and by building"
  ],
  "projectNotes": {
    "Cortex_Engine": {
      "title": "Cortex Engine",
      "rank": 1,
      "kind": "AI-native 3D game engine",
      "description": "A C#/.NET 9 game engine with a pure P/Invoke Vulkan 1.3 renderer, PBR shading, cubemap-array shadows, native Box3D physics and Flecs ECS. Its editor and runtime expose scene operations to AI agents through MCP.",
      "highlights": [
        "Pure Vulkan 1.3 backend",
        "PBR + multi-light shadows",
        "Playable FPS demo",
        "7 MCP scene tools"
      ],
      "tech": [
        "C#",
        ".NET 9",
        "Vulkan",
        "SDL3",
        "Box3D",
        "Flecs",
        "MCP"
      ],
      "links": [
        {
          "label": "GitHub",
          "href": "https://github.com/emil28092005/Cortex_Engine"
        }
      ]
    },
    "SciMesh": {
      "title": "SciMesh",
      "rank": 2,
      "kind": "Distributed scientific computing platform",
      "description": "A local-first platform that turns molecular computations into independent tasks, dispatches them to Go workers and deterministically combines checksum-protected artifacts. The Python SDK provides exact ChEMBL workloads without dense N×N matrices.",
      "highlights": [
        "Python workload SDK",
        "Go coordinator + workers",
        "PostgreSQL / SQLite modes",
        "Cross-platform signed releases"
      ],
      "tech": [
        "Python",
        "Go",
        "RDKit",
        "PostgreSQL",
        "Docker",
        "SHA-256"
      ],
      "links": [
        {
          "label": "GitHub",
          "href": "https://github.com/emil28092005/SciMesh"
        }
      ]
    },
    "AICC-Protocol": {
      "title": "AICC Protocol",
      "rank": 3,
      "kind": "LLM-controlled character protocol",
      "description": "An engine-agnostic protocol and Python SDK for connecting language-model agents to virtual environments. The reference capsule testbed proves the full loop: perception, movement and interaction over WebSocket with a protocol-conformant bridge.",
      "highlights": [
        "Async-first Python SDK",
        "WebSocket + in-process transports",
        "9/9 conformance scenarios",
        "Vision and navigation demo"
      ],
      "tech": [
        "Python",
        "JSON Schema",
        "WebSocket",
        "Pydantic",
        "LLM agents"
      ],
      "links": [
        {
          "label": "GitHub",
          "href": "https://github.com/emil28092005/AICC-Protocol"
        },
        {
          "label": "aicc-py",
          "href": "https://github.com/emil28092005/aicc-py"
        }
      ]
    },
    "hypothesis-machine": {
      "title": "Hypothesis Machine",
      "rank": 4,
      "kind": "Recursive research-agent extension",
      "description": "A TypeScript extension for the Pi Coding Agent that turns one interactive session into a persistent, recursive research team. It combines parallel agents, recoverable trees, full-text research memory and isolated Docker experiments with independent review.",
      "highlights": [
        "Recursive / parallel agents",
        "Persistent tree recovery",
        "SQLite FTS research memory",
        "Sandboxed experiment runner"
      ],
      "tech": [
        "TypeScript",
        "Node.js 22",
        "SQLite",
        "Docker",
        "Pi Agent"
      ],
      "links": [
        {
          "label": "GitHub",
          "href": "https://github.com/emil28092005/hypothesis-machine"
        }
      ]
    },
    "bibi_bot": {
      "title": "Bibi Bot",
      "rank": 5,
      "kind": "Self-hosted Telegram AI assistant",
      "description": "A production-oriented Telegram assistant for private groups: one-way HLS game streaming in a Mini App, DeepSeek-backed chat, repository-grounded answers, scoped SQLite memory and PostgreSQL-backed team context.",
      "highlights": [
        "Telegram Mini App + HLS",
        "Repository research with partial clones",
        "Scoped memory and privacy controls",
        "Docker Compose deployment"
      ],
      "tech": [
        "Python",
        "FastAPI",
        "Telegram",
        "DeepSeek",
        "PostgreSQL",
        "Docker"
      ],
      "links": [
        {
          "label": "GitHub",
          "href": "https://github.com/emil28092005/bibi_bot"
        }
      ]
    },
    "Soundgen": {
      "title": "Soundgen",
      "rank": 11,
      "kind": "Tool / experiment",
      "description": "Rust 8-bit synthesis, MCP generation and human-feedback training loop",
      "links": [
        {
          "label": "GitHub",
          "href": "https://github.com/emil28092005/Soundgen"
        }
      ]
    },
    "KimiFleet": {
      "title": "KimiFleet",
      "rank": 12,
      "kind": "Tool / experiment",
      "description": "Visible multi-agent orchestrator over ACP with live dashboard and handoffs",
      "links": [
        {
          "label": "GitHub",
          "href": "https://github.com/emil28092005/KimiFleet"
        }
      ]
    },
    "Imagen": {
      "title": "Imagen",
      "rank": 13,
      "kind": "Tool / experiment",
      "description": "MCP pixel-art generator with transparent backgrounds and rated references",
      "links": [
        {
          "label": "GitHub",
          "href": "https://github.com/emil28092005/Imagen"
        }
      ]
    },
    "Fractalier": {
      "title": "Fractalier",
      "rank": 14,
      "kind": "Tool / experiment",
      "description": "Procedural fractal evolution game with selection, crossover and mutation",
      "links": [
        {
          "label": "GitHub",
          "href": "https://github.com/emil28092005/Fractalier"
        }
      ]
    },
    "hermes-plugin-mome": {
      "title": "MoME",
      "rank": 15,
      "kind": "Tool / experiment",
      "description": "Sparse-gated personal memory plugin with an online-learning router",
      "links": [
        {
          "label": "GitHub",
          "href": "https://github.com/emil28092005/hermes-plugin-mome"
        }
      ]
    }
  }
}