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    "name": "Ilya Kuhta",
    "label": "Machine Learning Engineer",
    "summary": "End-to-end builder across ML and web — fine-tuning, evals, and inference optimization on one side; React/Next.js and FastAPI/Node full-stack features on the other. Recently shipped agentic eval pipelines and computer-vision systems in production",
    "location": "Fredrikstad, Norway",
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        "network": "LinkedIn",
        "username": "ik0",
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    {
      "company": "Hud (YC W25)",
      "position": "Research Engineer, Agentic AI Evals",
      "location": "San Francisco, USA (Hybrid)",
      "startDate": "2026-01",
      "current": true,
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        "Developed full-stack platform features including API endpoints and evaluation dashboards",
        "Built computer usage agent (CUA) with OpenRouter open-source models for automated testing",
        "Worked on Python SDK for RL environment creation",
        "Contributed to the platform's MCP functionalities, enabling seamless integration of external tools."
      ]
    },
    {
      "company": "Nxtech AS",
      "position": "AI Software Developer",
      "location": "Fredrikstad, Norway",
      "startDate": "2023-07",
      "endDate": "2026-01",
      "highlights": [
        "Deployed computer vision pipeline on NVIDIA Jetson Orin AGX for healthcare application",
        "Built autonomous navigation system with RealSense camera and logo tracking",
        "Integrated tracking algorithms into iOS Swift app"
      ]
    },
    {
      "company": "Beam (YC W22)",
      "position": "Machine Learning Engineer",
      "location": "New York, USA (Remote)",
      "startDate": "2025-05",
      "endDate": "2025-07",
      "highlights": [
        "Optimized LLM inference pipelines on distributed GPUs, reducing costs by 30%",
        "Built LoRA fine-tuning workflows for production deployment"
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    {
      "company": "Stealth",
      "position": "Software Engineer",
      "startDate": "2024-03",
      "endDate": "2024-06",
      "highlights": [
        "Implemented Azure Kinect SDK in C++ for healthcare monitoring with real-time processing, contributing to a 30% increase in accuracy of patient data analysis."
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  "education": [
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      "institution": "Odessa State Environmental University",
      "degree": "Bachelor of Science",
      "field": "Computer Science",
      "startDate": "2019",
      "endDate": "2023"
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  "awards": [
    {
      "title": "2nd Place | Meta LLaMA Hackathon Oslo",
      "date": "2025-02"
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