import MultimediaUniversity
import AIKit

class NishanKantan {

  // Languages I write in most days
  var code = ["Python", "SQL", "JavaScript", "TypeScript", "Java", "PHP", "C++", "R", "Shell"]

  // Things I'm happy to chat about
  var askMeAbout = [
    "machine learning",
    "LLMs & RAG",
    "time series forecasting",
    "MLOps & ML pipelines",
    "web dev (Django, React, WordPress)",
    "agentic AI & workflow automation",
    "self-hosted AI stacks",
    "crypto (a bit)"
  ]
  
  // Core tech & AI stack
  var technologies = [
    "machineLearning": [
      "classicalML": ["scikit-learn", "XGBoost"],
      "deepLearning": ["TensorFlow", "Keras", "PyTorch"],
      "timeSeries": ["Temporal Fusion Transformer (TFT)", "LSTM", "sliding-window models"],
      "nlp": ["NLTK", "spaCy", "text classification", "sequence models"],
      "computerVision": ["OpenCV", "YOLOv4", "OCR-style pipelines"],
      "dataScience": ["pandas", "NumPy"]
    ],
    "llmAndAIPlatform": [
      "llmOps": ["RAG pipelines", "prompt engineering", "Unsloth fine-tuning (LoRA-style)"],
      "localLLM": ["Ollama", "AnythingLLM", "OpenWebUI"],
      "agenticWorkflows": ["n8n", "tool/ API orchestration", "multi-step agents"],
      "automation": ["document Q&A", "search/chat over private data"]
    ],
    "mlOps": [
      "experimentation": ["DataRobot", "Python ML stacks"],
      "tracking": ["MLflow"],
      "monitoring": ["Evidently (drift / performance checks)"],
      "packaging": ["Docker 🐳", "Git-based workflows"],
      "serving": ["REST APIs", "on-prem & cloud deployments"]
    ],
    "frontEnd": [
      "js": ["React", "Nuxt"],
      "css": ["Tailwind", "Bootstrap"]
    ],
    "backEnd": [
      "python": ["Django", "Django REST Framework"],
      "php": ["WordPress / WooCommerce"],
      "webserver": ["Nginx", "Apache"]
    ],
    "devOps": [
      "collaborate": ["Jira", "Trello"],
      "build": ["Git", "Docker"],
      "deploy": ["GitHub Actions", "npm", "pip"],
      "run": ["AWS", "GCP", "DigitalOcean", "on-prem homelab"]
    ],
    "dataAndBI": [
      "dashboards": ["Power BI", "Tableau"],
      "databases": ["PostgreSQL", "MySQL", "SQLite"]
    ]
  ]
    
  // How I like to structure things
  var architectures = [
    "LLM apps with Retrieval-Augmented Generation (RAG)",
    "end-to-end ML pipelines with MLOps",
    "progressive web applications",
    "single page applications",
    "MVVM architecture",
    "MVC architecture"
  ]

  // Where I've applied this
  var industries = [
    "banking",
    "insurance",
    "manufacturing (spare parts demand forecasting)",
    "agriculture",
    "retail & e-commerce"
  ]

  // Current focus
  var currentFocus = [
    "building reusable AI/LLM building blocks for clients",
    "self-hosted LLM stacks & agentic workflows",
    "time series forecasting for real-world operations",
    "AI-powered SaaS like CVSmartAI.com"
  ]
}