{
  "name": "Sangam Thapa Portfolio Agent",
  "version": "1.0.0",
  "description": "Agent-to-Agent discovery card for Sangam Thapa — Satellite Systems & OBC Lead, Machine Learning Engineer (Edge AI & Computer Vision), and Embedded Systems Specialist.",
  "url": "https://thapasangam.com.np",
  "provider": {
    "name": "Sangam Thapa",
    "url": "https://thapasangam.com.np"
  },
  "supportedInterfaces": [
    {
      "url": "https://thapasangam.com.np/llms.txt",
      "protocol": "http",
      "transport": "markdown"
    },
    {
      "url": "https://thapasangam.com.np/api/agent",
      "protocol": "http",
      "transport": "json"
    }
  ],
  "capabilities": [
    {
      "id": "satellite-systems-consultation",
      "name": "Satellite Systems & OBC Architecture",
      "description": "Provides expert technical insights into CubeSat On-Board Computers (OBC), CubeOS flight software, and NuttX RTOS integration."
    },
    {
      "id": "machine-learning-perception",
      "name": "Edge AI & Computer Vision Perception",
      "description": "Provides information on real-time object detection (YOLOv12S/DETR), TinyML, and NLP Transformer architectures."
    }
  ],
  "skills": [
    {
      "id": "cubesat-flight-software",
      "name": "CubeSat Flight Software & OBC",
      "description": "Architecture and design of PX4-inspired flight software (CubeOS) on NuttX RTOS for CubeSat buses."
    },
    {
      "id": "embedded-pcb-design",
      "name": "Embedded Systems & Multi-layer PCB Design",
      "description": "STM32F4/H7/WL embedded hardware design, LoRaWAN sensor telemetry, and hardware-in-the-loop simulation."
    },
    {
      "id": "nlp-byakaran-transformers",
      "name": "Natural Language Processing (NLP)",
      "description": "Transformer-based sequence-to-sequence grammatical error correction for low-resource languages (Prasta Nepali)."
    },
    {
      "id": "computer-vision-detection",
      "name": "Edge AI & Computer Vision Pipelines",
      "description": "Benchmarking and deployment of YOLOv12S, DETR, Faster R-CNN, and U-Net models on edge platforms."
    }
  ]
}