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Achievement: Public SponsorAchievement: StarstruckAchievement: Arctic Code Vault ContributorAchievement: Pull Shark

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ArslanKAS/README.md

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Hi 👋, I'm Arsalan Ali

Data Scientist | AI Engineer | LLM Engineer

GitHub stats GitHub streak

  • 👀 I love everything related to Python, Data Science, Machine Learning, and Generative AI
  • 🌱 Currently exploring Advanced LLM architectures, Agentic AI, and Multimodal RAG Pipelines
  • 💬 Ask me about AI-driven analytics, LLMOps, OpenSearch, and AWS deployments
  • 📫 Reach me at arslanchaos@gmail.com

Social Network

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Tools

AWS OpenSearch LangChain Docker

🚀 Featured Projects

🎯 Generative AI & LLM

Project Description Link
CampusX-LangChain LangChain tutorials & hands-on demos Repo
6-Weeks-of-Agentic-AI Guided course notebooks on agentic AI Repo
Reasoning-with-o1 Prompting and reasoning with OpenAI’s o1 model Repo
LLM_Everything Comprehensive LLM experiments & demos Repo
simple-local-rag Build a fully-local Retrieval-Augmented Generation Repo

📊 Data Analysis & Forecasting

Project Link
CO2 vs GDP Analysis Repo
Oil and Gas Analysis Repo
Sastaticket Flight Prediction Repo
Credit Card Fraud Detection Repo

💬 Natural Language Processing

Project Link
Sentiment Analysis Repo
Fake News Detection Repo
GPT-2023 Repo

👁️ Computer Vision & Multimodal

Project Link
Eye Blink Detection Repo
Multimodal-RAG---Chat-with-Videos Repo

🎤 Audio & Speech

Project Link
Voice Cloning Repo

🎮 Games & Automation

Project Link
Snake Game Repo
Turtle Race Repo
Automate WhatsApp Repo
ChatGPT Python Repo
Regular Expressions Repo
Streamlit Apps Repo

Pinned Loading

  1. Python-Chilla-2.0 Python-Chilla-2.0 Public

    All the content that I learned through two Courses. One is called "Python Chilla" and the second one is called "100 Days of Machine Learning"

    Jupyter Notebook 5 2

  2. ML_pipeline ML_pipeline Public

    Machine Learning Project Pipeline

    Jupyter Notebook 3

  3. Prompt-Engineering-by-OpenAI Prompt-Engineering-by-OpenAI Public

    In ChatGPT Prompt Engineering for Developers, you will learn how to use a large language model (LLM) to quickly build new and powerful applications.

    Jupyter Notebook 36 20

  4. LangChain-for-LLM-App-Development LangChain-for-LLM-App-Development Public

    The framework to take LLMs out of the box. Learn to use LangChain to call LLMs into new environments, and use memories, chains, and agents to take on new and complex tasks.

    Jupyter Notebook 32 19

  5. Functions-Tools-and-Agents-with-LangChain Functions-Tools-and-Agents-with-LangChain Public

    Explore new advancements like ChatGPT’s function calling capability, and build a conversational agent using a new syntax called LangChain Expression Language (LCEL) for tasks like tagging, extracti…

    Jupyter Notebook 15 7

  6. Large-Language-Models-with-Semantic-Search Large-Language-Models-with-Semantic-Search Public

    Explore from keyword search to dense retrieval and reranking, which injects the intelligence of LLMs into your search system, making it faster and more effective.

    Jupyter Notebook 14 13