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Achievements

Achievement: Pull SharkAchievement: Pair ExtraordinaireAchievement: YOLOAchievement: Quickdraw

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Tahirpathan-AiLab/README.md

✨ Tahir Pathan ✨

AI Engineer | LLMs • Agentic AI • RAG • Intelligent Automation

I'm an AI Engineer specializing in Large Language Models (LLMs), Agentic AI, Retrieval-Augmented Generation (RAG), and Intelligent Automation. I enjoy building scalable, production-ready AI applications that solve real-world problems and transform cutting-edge AI research into practical solutions.

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About Me

AI Engineer specializing in Large Language Models (LLMs), Agentic AI, Retrieval-Augmented Generation (RAG), and Intelligent Automation.

I build scalable, production-ready AI applications using modern AI frameworks and technologies. My expertise includes AI Agents, RAG pipelines, prompt engineering, vector databases, and intelligent automation.

  • Building production-ready AI systems

  • Developing AI Agents & Multi-Agent Systems

  • Working with LangChain, LangGraph & FastAPI

  • Exploring MCP Servers and AI Infrastructure

  • Passionate about open-source AI development

 Tahir Pathan

Languages & Tools

Python Java FastAPI LangChain LangGraph OpenAI Google Gemini Hugging Face Ollama FAISS ChromaDB Pinecone Docker Linux Git

I regularly share my achievements, certifications, hackathon results, research milestones, and learning journey on LinkedIn.

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  1. Machine_Learning_Project Machine_Learning_Project Public

    End-to-end Machine Learning pipeline for wearable sensor data featuring preprocessing, feature engineering, PCA, FFT, outlier detection, and repetition counting for barbell exercises.

    Python 7

  2. High_Level_Data_visualization High_Level_Data_visualization Public

    Python scripts for processing, visualizing, and cleaning accelerometer and gyroscope data from MetaMotion wearable fitness tracking bands. Includes time-series preprocessing, sensor synchronization…

    Python 7

  3. Intermediate_Level_Data_visualization Intermediate_Level_Data_visualization Public

    In this project, I loaded the FSI 2020 and 2021 Excel datasets using Pandas. I selected the required columns, merged important data, renamed the columns, and saved the processed files as pickle fil…

    Python 7

  4. Low_Level_Data_visualization Low_Level_Data_visualization Public

    This code reads data from Excel files, visualizes selected columns using line plots, and combines multiple Excel files into one dataset. It uses Pandas for data handling, Glob for finding files, an…

    Python 7

  5. Amul_Corporate_Website Amul_Corporate_Website Public

    A modern responsive corporate website inspired by Amul, featuring multi-page navigation, product and service showcases, EmailJS-powered contact forms, Google Maps integration, city autocomplete, re…

    HTML 7

  6. Nextgen_Restaurant_Platform Nextgen_Restaurant_Platform Public

    A modern responsive corporate website inspired by the Amul brand, featuring multi-page navigation, EmailJS-powered contact forms, Google Maps integration, city autocomplete, responsive layouts, and…

    HTML 7