{
  "lastUpdated": "2026-07-30T15:21:09.488Z",
  "version": "1.0.0",
  "source": "https://github.com/PrinsSayja01/Potfolio_Site01",
  "confidence": 1,
  "language": "en",
  "visibility": "public",
  "name": "Prins Sayja",
  "title": "AI Engineer & Data Scientist",
  "skills": {
    "programming": "💻 Programming Languages",
    "aiMl": "🤖 AI & Machine Learning",
    "backend": "⚙️ Backend Development",
    "llmOps": "🚀 LLMOps & Pipelines",
    "dataEng": "📊 Data Engineering",
    "toolsCloud": "🛠️ Tools & Cloud Frameworks"
  },
  "projects": [
    {
      "title": "🧬 AI Child OS – Adaptive Learning Platform",
      "description": "Founded & architected complete memory-driven AI learning platform for children — backend, frontend, AI layer, gamification, and parent intelligence dashboards.",
      "features": [
        "Multi-LLM Orchestration",
        "Persistent Child Memory",
        "Gamified Ecosystem",
        "JWT Auth & RBAC"
      ]
    },
    {
      "title": "🤖 AI-PASS – AI Agent & Automation Platform",
      "description": "End-to-end AI pipelines for document parsing and enterprise automation. Implemented OCR extraction, classification, vector search, and automated decision-making.",
      "features": [
        "Document Understanding",
        "RAG-based Architecture",
        "AI Agent Decisions",
        "FastAPI Backend"
      ]
    },
    {
      "title": "🏥 Digital Health Twin Platform – Healthcare System",
      "description": "Scalable AI healthcare platform built on Digital Health Twin concepts. Implemented structured parsing, patient wearable/clinical event data models, and microservices.",
      "features": [
        "Structured Parsing",
        "Event-Driven Patients Model",
        "Microservices Architecture",
        "Production Pipelines"
      ]
    },
    {
      "title": "📊 Customer Churn Prediction Dashboard",
      "description": "Telecom customer churn prediction utilizing XGBoost and Random Forest. Streamlit dashboard features real-time risk classification and feature importance insights.",
      "features": [
        "Real-time predictions",
        "Feature Importance analysis",
        "Interactive Streamlit UI"
      ]
    },
    {
      "title": "📄 Advanced Resume Analyzer",
      "description": "NLP-based resume parsing tool built using Python and SpaCy. Evaluates and scores resumes against job specifications for automated candidate evaluation.",
      "features": [
        "Intelligent Scoring",
        "Keyword matching",
        "Job requirements evaluation"
      ]
    }
  ],
  "experience": [
    {
      "title": "AI Research & Development Intern – HOPn",
      "description": "AI Engineer in R&D building AI-PASS: enterprise event-driven AI automation platform for real-world workflows and governance.",
      "details": [
        "Designed and deployed production AI systems — LLMs, RAG pipelines, intelligent agents and real-time workflow orchestration on enterprise platform AI-PASS",
        "Built LiveSync Engine: event-driven execution layer for multi-step AI automation with real-time state management and async processing",
        "Engineered Invoice AI pipeline: OCR intake, structured extraction, confidence-based validation — reduced manual processing by ~70%",
        "Developed HR AI system: LLM-powered CV parsing, semantic scoring, end-to-end hiring automation — cut screening time by 60%",
        "Built scalable backend (Python, FastAPI, PostgreSQL, Redis, Celery, 3 microservices) and React/Vite frontend for Web, Desktop, and Mobile"
      ]
    },
    {
      "title": "Freelance Data & AI Developer – Freelancer.com",
      "description": "Delivered 6+ production AI applications for clients across logistics, e-commerce, and marketing sectors.",
      "details": [
        "Delivered 6+ production AI apps across logistics, e-commerce, marketing — React platform +25% conversion; AI logistics tool +30% accuracy",
        "n8n automation saving 20+ hrs/week; ML pipelines cut document processing ~60%",
        "Designed ML pipelines (XGBoost, Random Forest) with Streamlit dashboards; reduced document processing by ~60%"
      ]
    },
    {
      "title": "M.Sc. Data Science – FAU Erlangen-Nürnberg",
      "description": "Pursuing M.Sc. in Data Science at Friedrich-Alexander-Universität in Germany, specializing in advanced machine learning and research.",
      "details": [
        "Coursework: Machine Learning, Deep Learning, Data Engineering, NLP, Statistical Modeling",
        "Thesis: ML systems & NLP research applied to production AI architectures"
      ]
    },
    {
      "title": "Software Developer – Twinnet Technology",
      "description": "Developed full stack features for enterprise applications, working with React/Angular, Node.js, and client-server systems.",
      "details": [
        "Built enterprise web applications using React, Angular, Node.js; increased engagement 40%, reduced bounce rates 25%, raised satisfaction 20%; team of 8"
      ]
    },
    {
      "title": "B.Tech Information Technology – RK University",
      "description": "Completed Bachelor of Technology in IT Engineering in India, mastering computer science and programming fundamentals."
    }
  ],
  "services": [
    {
      "title": "🏢 Business Automation",
      "desc": "Invoice generation, reporting dashboards, email workflows"
    },
    {
      "title": "🛒 E-commerce Solutions",
      "desc": "Product data scraping, stock monitoring, automated pricing"
    },
    {
      "title": "📧 Marketing Automation",
      "desc": "Lead capture, CRM integrations, AI-powered campaigns"
    }
  ],
  "contact": {
    "location": "Nuremberg, Germany",
    "email": "Contact via website form"
  },
  "languages": [
    "English",
    "German",
    "Gujarati / Hindi"
  ],
  "socialLinks": {
    "linkedin": "https://linkedin.com/in/connect-with-prins-sayja",
    "github": "https://github.com/PrinsSayja01"
  }
}