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GenesisBlock3301/README.md

👋 Hi, I'm Nur Amin Sifat

Software Engineer | Problem Solver | Machine Learning Enthusiast | Backend & AI/ML Developer from Bangladesh 🇧🇩

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👨‍💻 About Me

  • 💼 Currently working at Brain Station 23
  • 💡 Building scalable Backend Systems, Web Applications, and AI/ML solutions
  • 🔭 Focused on Python, Go, Django, FastAPI, and Machine Learning
  • 🚀 Exploring Computer Vision, LLMs (RAG, Transformers)
  • 📝 Writing technical articles on Medium
  • 💬 Ask me about: Python, Golang, Django, Flask, FastAPI, ML, DSA
  • ⚡ Fun fact: I love automating repetitive tasks and solving algorithmic challenges

🧰 Tech Stack & Tools

📊 GitHub Stats

🔗 Connect with Me

LinkedIn GitHub LeetCode StackOverflow Medium

💬 Quote

“Stay curious, keep learning, and always code with purpose.”

🙏 Acknowledgements

Credit to Saurabh Chavan and the open-source community 💙

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  1. ai-research-assistant ai-research-assistant Public

    AI Research Assistant API built with FastAPI, LangGraph, and PostgreSQL. Provides user authentication, chat with agentic AI, memory, and knowledge base integration for research and information retr…

    Jupyter Notebook

  2. langchain-chatbot-fastAPI langchain-chatbot-fastAPI Public

    An LLM-powered conversational chatbot built with LangChain. This bot can have multi-turn conversations and remembers previous interactions. Serves as a foundation for more advanced conversational A…

    Jupyter Notebook

  3. machine_learning_foundations machine_learning_foundations Public

    This repo for learning ML related concept and tools

    Jupyter Notebook

  4. ml-dl-computer-vision-journey ml-dl-computer-vision-journey Public

    Machine Learning, Deep Learning, and Computer Vision.

    Jupyter Notebook

  5. titanic-ml-pipeline-xgboost titanic-ml-pipeline-xgboost Public

    This project demonstrates a complete machine learning workflow on the Titanic dataset from Kaggle. The goal is to predict passenger survival using advanced techniques such as handling missing value…

    Python

  6. llm-playbook-with-experiments llm-playbook-with-experiments Public

    From basic LLM concepts to advanced agentic workflows with small POCs and state tracking demos.

    Jupyter Notebook