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swatisingh050405/README.md
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💫 About Me

I'm an aspiring AI/ML Engineer driven by curiosity and a passion for building intelligent applications. My journey revolves around Machine Learning, Deep Learning, MLOps, and Generative AI, with a growing interest in developing scalable AI systems that create real-world impact.

I believe the best way to learn is by building, experimenting, and continuously improving. Along the way, I've worked on projects that challenge me to think beyond the classroom.

🎧 Outside of coding, I enjoy listening to music, travelling, and relaxing with a good series.

⚡ Quick Facts

  • 🌱 Currently learning Agentic AI, LLM Engineering & Advanced RAG
  • 💬 Ask me about Python, Machine Learning, Deep Learning, FastAPI, React & MLOps
  • 📫 Reach me at swatisingh050405@gmail.com
  • ⚡ Fun Fact: * I'd rather debug a model at 4 AM than leave it broken overnight* 🎧

🌐 Connect With Me

LinkedIn • Gmail • Instagram

🛠️ Tech Stack

💻 Programming & Development

                       


🤖 AI / Machine Learning

               


⚙️ Databases • Tools • Deployment

                               

📊 GitHub Stats:



⭐ Turning curiosity into intelligent solutions, one project at a time.

Popular repositories Loading

  1. CARS--Project CARS--Project Public

    A step-by-step web app to manage DRDO's Contract for Acquisition of Research Services (CARS) — built during my internship.

    HTML

  2. kidney-disease-classification-project kidney-disease-classification-project Public

    End-to-end Kidney Disease Classification using Deep Learning with MLOps practices including experiment tracking, model versioning, CI/CD, and deployment.

    Python

  3. swatisingh050405 swatisingh050405 Public

  4. transformer_from-_scratch transformer_from-_scratch Public

  5. django_-learning_project django_-learning_project Public

    A simple blog application built while learning and practicing the Django framework.

    HTML

  6. research_mentor research_mentor Public

    AI-powered research paper discovery platform using semantic search, LLM-generated summaries, vector embeddings, ChromaDB, FastAPI, React, and Gemini API.

    JavaScript