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Building SOTA!
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Building SOTA!

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di37/README.md

πŸ‘‹ Hello, I'm Isham!

I am a dedicated Machine Learning Engineer / Artificial Intelligence Researcher with a strong track record in developing and deploying AI-powered solutions πŸš€. My expertise spans machine learning, deep learning algorithms, and prompt engineering, enabling me to tackle complex challenges across various domains. At work, I thrive on creating impactful AI products πŸ’‘, and in my personal time, I'm passionate about building and sharing projects. These side projects are not just demonstrations but are designed as tutorials for others to learn from and build their own AI applications πŸ€–. Join me in exploring the possibilities of AI!

Skills and Technologies πŸ› οΈ

Programming Languages:

  • Python 🐍, C, C++ βž•βž•, JavaScript πŸ“œ

Machine Learning & Data Science:

  • Machine Learning / Deep Learning: PyTorch πŸ”₯, Tensorflow, Keras, Scikit-Learn πŸ“Š
  • Natural Language Processing & Natural Language Understanding: HuggingFace - Transformers, NLTK, Inflection, SpaCy, Gensim, OpenAI, LangChain, Llama-Index πŸ“
  • Computer Vision and Image Processing: OpenCV, FastAI, PIL, YoloV7, TorchVision πŸ“·
  • MLOps: MLflow πŸ”„

Data Processing & Visualization:

  • Data Analysis and Manipulation: Pandas 🐼, Numpy, Scipy, Excel πŸ“ˆ
  • Data Visualization: Tableau, Power BI, Excel Charts, Jupyter Notebook, Plotly, Seaborn, Klib πŸ“‰
  • Video & Audio Processing: TorchAudio, FFMPEG, PyDub 🎧

Web & API:

  • Web Scraping: Requests, BeautifulSoup, Selenium πŸ•ΈοΈ
  • API Endpoints: FastAPI, AWS, HuggingFace Space 🌐
  • Interactive Dashboards and Interfaces: Streamlit, Gradio πŸ–₯️

Infrastructure:

  • Relational Database: MongoDB, MySQL, PostgreSQL πŸ—„οΈ
  • Graph Database: SparQL, Neo4J πŸ•ΈοΈ
  • Vector Database: FAISS, ChromaDB, Pinecone β†—
  • Version Control: GitHub πŸ”„
  • Infrastructure as Code: Terraform πŸ—οΈ
  • Containerization: Docker πŸ“¦

Project Management:

  • Project Management Tools: Jira, Notion πŸ“‹

Feel free to explore my repositories and contributions. I'm always eager to collaborate on exciting machine learning projects and discuss innovative ideas!

Pinned Loading

  1. multiclass-image-classification-using-multimodal-llms multiclass-image-classification-using-multimodal-llms Public

    A comprehensive comparison of multimodal models - llama3.2-vision, minicpm-v, llava-llama3, llava, llava13:b and closed source models for animal classification tasks. This project evaluates various…

    Jupyter Notebook 6

  2. multiclass-news-classification-using-llms multiclass-news-classification-using-llms Public

    This repository contains a project that focuses on evaluating the performance of different Language Models (LLMs) for multi-class news classification. The project aims to assess how well LLMs can c…

    Jupyter Notebook 15 1

  3. youtube-notes-generator youtube-notes-generator Public

    AI-powered YouTube Notes Generator: Create detailed notes from YouTube videos. Streamlit UI for easy use.

    Python 43 5

  4. speech-to-text-fine-tuning-on-unseen-language speech-to-text-fine-tuning-on-unseen-language Public

    This projects aims to show how whisper model can be fine-tuned on language it was not trained but is trained on similar language to it.

    Jupyter Notebook 11

  5. coding-assistant-codellama-streamlit coding-assistant-codellama-streamlit Public

    This project demonstrates how to utilize Codellama, a local open-source Large Language Model (LLM), and customize its behavior according to your specific requirements using a Modelfile.

    Python 31 3

  6. full-fine-tuning-nvidia-question-and-answering full-fine-tuning-nvidia-question-and-answering Public

    Flan-t5-base model was fine-tuned on Nvidia Question and Answer Pair Dataset available on Kaggle. This is a beginner level project who wants to step in to the world of Large Language Models.

    Jupyter Notebook 21