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kartiknarang04/README.md

#πŸ‘‹ Hey there! I'm Kartik Narang

🧠 AI/ML Developer | πŸ’‘ RAG Enthusiast | πŸ“Š Data Science Practitioner

I'm a passionate developer exploring the evolving world of Artificial Intelligence and Machine Learning, driven by curiosity and a strong desire to build real-world solutions with impact. From building smart document summarizers to detecting climate anomalies, I love turning ideas into intelligent systems.


πŸ’Ό Experience

🧠 HAIVE.Tech β€” AI/ML Intern

  • Developed end-to-end LLM pipelines for RAG and document summarization
  • Created APIs for local inference and integrated Groq/OpenAI for efficient inference

πŸ“± Samsung Prism β€” Research Collaborator

  • Contributed to AI-driven smartphone optimization projects
  • Worked on models that improved predictive performance for embedded systems

🌐 Talent Socio β€” ML Intern

  • Worked on recommendation systems and behavior-based user modeling
  • Contributed to the backend ML logic for a career-growth platform

πŸš€ Highlight Projects

🧾 Legal Summarizer (Supreme Court PILs)

  • Built an AI system to read legal documents and generate crime breakdowns, relevant laws, and case insights
  • Integrated LLMs and RAG for deep legal context understanding

πŸ‘€ LinkedIn Personality Generator

  • Generates personality-driven LinkedIn summaries using LLM prompts and profile analysis
  • Great for students and professionals seeking impactful bios

🎬 Movie Recommendation System

  • Built a collaborative-filtering-based engine to recommend movies based on user preferences
  • Added content-based filtering as fallback

🧠 Custom RAG System

  • Developed a lightweight RAG pipeline using custom vector stores and local embedding models
  • Enhanced with reranking and summarization modules

πŸ“° AI News Digest Bot

  • Scrapes and summarizes trending AI news from TechCrunch, Analytics Insight, etc.
  • Uses Groq + OpenAI for fast summaries, rephrasing, and image generation
  • MongoDB integration for storage and dashboard compatibility

πŸ“š Technical Skills

Languages & Libraries

  • Python, TensorFlow, PyTorch, pandas, NumPy, scikit-learn
  • NLP: HuggingFace, Transformers, spaCy, NLTK
  • CV: OpenCV, torchvision, PIL

Tools & Frameworks

  • Web Scraping: Selenium, BeautifulSoup
  • LLM APIs: OpenAI, Groq, HuggingFace Inference
  • Deployment: Streamlit, Flask, FastAPI
  • Databases: MongoDB, SQLite

🎯 Currently Exploring

  • Context-aware RAG improvements
  • Graph Neural Networks (GNNs)
  • Reinforcement Learning
  • AI for Climate Anomaly Detection

πŸ“« Let's Connect!


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