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MrBinit/README.md

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Hi there! I'm Binit Sapkota 👋

AI Engineer

Welcome to my GitHub profile! I'm passionate about Machine learning and Data science, with expertise in various technologies and tools. Here's what I bring to the table:

🔧 Tech Stack

AWS TensorFlow PyTorch Docker Python FastAPI

🔧 Technologies and Tools

  • 💡 Deep Learning: PyTorch, TensorFlow
  • 📚 Natural Language Processing (NLP), Computer Vision (CV), Large Language Models (LLM)
  • 🤖 Machine Learning: Scikit-Learn
    • Skills: Classification, Regression, Clustering, Graph Neural Networks
  • 🛠️ Big Data Processing: PySpark
  • 🧮 Mathematics Knowledge: Statistics, Linear Algebra, Calculus
  • 📊 Databases: POSTGRES SQL, Knowledge Graph(Neo4j), Vector database (qdrant)
  • 🧠 Data Structures and Algorithm: Python, C++, C
  • 🛠️ Software Development Tools: Linux, Docker, Git, GitHub, AWS, Databricks, Postman, Pip
  • 📈 Data Analysis and Visualization: Tableau, Matplotlib, Seaborn, Plotly
  • 🐍 Python Frameworks: Flask, FastAPI

🌱 Currently Learning

  • 🚀 History of Nepal chatbot
  • 🚀 Translation model for romanized Nepali

👯 Looking to Collaborate On

  • 🤝 Projects related to Natural Language Processing (NLP) and Large Language Models (LLM)

Feel free to reach out for collaboration or discussion on any of these topics!

Connect with me on LinkedIn

📊 GitHub Stats

Binit's GitHub stats

📊 Top Languages

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  1. History_Nepal_Chatbot History_Nepal_Chatbot Public

    The Nepalese History Chatbot is an AI-powered system designed to provide detailed and accurate insights into Nepal’s rich historical heritage. It integrates Google Search, Qdrant, and Neo4j knowled…

    Python

  2. Graph-Autoencoder-AML Graph-Autoencoder-AML Public

    In this project, I developed an AI model using a graph autoencoder to detect layers and cyclic patterns in AML. I am currently exploring graph neural networks to design advanced models aimed at ove…

    Python

  3. LLM-Constitution_Nepal_2072 LLM-Constitution_Nepal_2072 Public

    This project leverages Retrieval Augmented Generation (RAG) to create an LLM model based on the Constitution of Nepal. The model, powered by LLAMA 3 70B and executed using ChatGROQ, enables efficie…

    Jupyter Notebook

  4. Speaker-embedding-and-Clustering Speaker-embedding-and-Clustering Public

    This project uses a pre-trained diarization pipeline and embedding model to detect and cluster speakers from audio, assigning unique IDs per speaker. Speaker embeddings are clustered with DBSCAN ba…

    Python