{
  "name": "Vikram",
  "username": "vikrambtech2025-png",
  "headline": "AI/ML Engineer — idealistic AI agents that solve real-world problems",
  "email": "vikrambtech2025@gmail.com",
  "links": {
    "github": "https://github.com/vikrambtech2025-png",
    "linkedin": "https://www.linkedin.com/in/vikram-sathya-829a57379/",
    "instagram": "https://instagram.com/vikrambtech2025",
    "site": "https://vikrambtech2025-png.github.io/vikrambtech2025-png/"
  },
  "focus": [
    "Autonomous AI agents with guardrails",
    "Retrieval-augmented generation (RAG)",
    "Multimodal / visual retrieval",
    "Applied LLM evaluation"
  ],
  "stack": {
    "languages": ["Python", "TypeScript", "Java", "JavaScript", "SQL"],
    "ai_ml": ["LangChain", "LangGraph", "Hugging Face", "ColPali", "Unsloth", "FAISS", "Qdrant", "ChromaDB", "PyTorch", "TensorFlow", "scikit-learn", "XGBoost"],
    "vision": ["OpenCV", "MediaPipe"],
    "web": ["FastAPI", "React", "Streamlit", "Gradio", "Flask"],
    "infra": ["Docker", "GitHub Actions", "SQLite", "Qdrant", "Inngest"]
  },
  "selected_work": [
    {
      "name": "citecheck",
      "url": "https://github.com/vikrambtech2025-png/citecheck",
      "summary": "Research agent where every citation is programmatically verified. Guardrails at the capability layer; eval suite publishes its own failures. Runs on a 6 GB GPU with no API key."
    },
    {
      "name": "LangGraph-Agent",
      "url": "https://github.com/vikrambtech2025-png/LangGraph-Agent",
      "summary": "Multi-agent research workflow: analyst personas, parallel interview loops with Tavily web search, cited report synthesis."
    },
    {
      "name": "production-rag",
      "url": "https://github.com/vikrambtech2025-png/production-rag",
      "summary": "Event-driven RAG pipeline on Inngest workflows with FastAPI and Qdrant vector search."
    },
    {
      "name": "colpali-rag",
      "url": "https://github.com/vikrambtech2025-png/colpali-rag",
      "summary": "Multimodal RAG using ColPali late-interaction visual retrieval and hybrid dense + BM25 search."
    },
    {
      "name": "MOIL-Manganese-AI",
      "url": "https://github.com/vikrambtech2025-png/MOIL-Manganese-AI",
      "summary": "AI + space-tech decision-support platform for MOIL Ltd: reserve mapping, production forecasting, shortfall-risk prediction (SIH 2026)."
    },
    {
      "name": "alpaka-mcp",
      "url": "https://github.com/vikrambtech2025-png/alpaka-mcp",
      "summary": "MCP server + CLI for the Alpaca Trading API — drive trades from AI assistants and the terminal."
    }
  ],
  "principles": [
    "It must run — a demo that only works on my laptop is a story, not a system.",
    "It must prove itself — evals, guardrails, and citations are part of the product.",
    "It must be frugal — real models on a 6 GB GPU, no expensive API key required to reproduce."
  ],
  "contact": "vikrambtech2025@gmail.com"
}