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jatin-12-2002/README.md

Hi 👋, I'm Jatin Sareen

✨ About Me
👋 Hi there! I’m Jatin Sareen, a passionate Data Scientist and AI enthusiast currently pursuing B.Tech. in Computer Engineering at J.C. Bose University of Science & Technology, YMCA, Faridabad.

💡 What I Do

  • Specialize in Machine Learning, Deep Learning, and Natural Language Processing.
  • Hands-on experience in building scalable MLOps pipelines.
  • Deploying AI-driven applications and solving real-world problems using cutting-edge technologies like Generative AI and Computer Vision.

🌱 What I’m Currently Working On

  • Building scalable end-to-end MLOps pipelines for real-world use cases.
  • Exploring advanced Retrieval-Augmented Generation (RAG) methods with LLMs like LLaMA and Mistral.
  • Enhancing workplace safety using Computer Vision and YOLOv8.

🤝 What I’m Looking to Collaborate On

  • Projects involving Generative AI, NLP, or MLOps.
  • Open-source initiatives that leverage AI for social good.
  • Research in AI explainability or efficient large model training.

🎯 My Goals

  • Create innovative AI solutions to solve impactful challenges in healthcare, education, and industry.
  • Continue growing as a Data Scientist and contributing to the AI community.

⚡ Fun Fact

  • When I’m not coding, you’ll find me solving programming challenges, exploring tech blogs, or learning about new AI trends.

📫 How to reach me sareenjatin002@gmail.com

🌐 Socials:

LinkedIn Stack Overflow

💻 Tech Stack:

C++ Python AWS Anaconda Flask FastAPI Streamlit nVIDIA MongoDB MySQL Redis Keras Matplotlib mlflow NumPy Pandas Plotly PyTorch scikit-learn Scipy TensorFlow CircleCI GitHub Actions Git GitHub Docker ElasticSearch Postman

📊 GitHub Stats:

🏆 GitHub Trophies

✍️ Random Dev Quote

🔝 Top Contributed Repo

💰 You can help me by Donating

PayPal

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  1. phishing-classifier phishing-classifier Public

    A machine learning-powered phishing URL detection system built with Python and Flask, featuring MLOps practices for automated training, evaluation, and deployment to ensure scalability and reliabil…

    Jupyter Notebook

  2. Chest-Disease-Classification-Final-Version Chest-Disease-Classification-Final-Version Public

    An MLOps-powered pipeline for chest disease classification from CT scans using ResNet50, achieving 89.52% accuracy. Includes data versioning with DVC, experiment tracking with MLflow, automated mod…

    Jupyter Notebook 1

  3. Industry_Safety_Detection_Using_YOLOv8 Industry_Safety_Detection_Using_YOLOv8 Public

    An MLOps pipeline for real-time industrial safety detection using YOLOv8, achieving 88.90% mAP_50 accuracy. Automates data ingestion, validation, and evaluation with MLflow, and integrates CI/CD fo…

    Jupyter Notebook 1 1

  4. AG_News_Classification AG_News_Classification Public

    End-to-end MLOps pipeline for AG News Classification using transformer models like RoBERTa, achieving 94.53% accuracy. Features FastAPI backend, Redis-Celery for task handling, AWS EC2 for deployme…

    Jupyter Notebook

  5. E-Commerce_ChatBot E-Commerce_ChatBot Public

    An advanced E-commerce chatbot using RAG, LLaMA 3.1-8B, and LangChain, deployed on AWS EC2. Features history-aware chat, product recommendations using HuggingFace embeddings stored in AstraDB, and …

    Jupyter Notebook 1

  6. Interview_Question_Creator Interview_Question_Creator Public

    AI-powered tool for generating domain-specific interview questions and answers from PDFs. Leverages Mistral LLM via LangChain, FAISS for embeddings, Redis/Celery for async tasks, and FastAPI backen…

    Jupyter Notebook