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Building SOTA!
:dependabot:
Building SOTA!
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Achievement: StarstruckAchievement: Pull SharkAchievement: Arctic Code Vault Contributor
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di37/README.md

👋 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 🚀. 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 💡, 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 🤖. Join me in exploring the possibilities of AI!

Skills and Technologies 🛠️

Programming Languages:

  • Python 🐍, C, C++ ➕➕, JavaScript 📜

Machine Learning & Data Science:

  • Machine Learning / Deep Learning: PyTorch 🔥, Tensorflow, Keras, Scikit-Learn 📊
  • Natural Language Processing & Natural Language Understanding: HuggingFace - Transformers, NLTK, Inflection, SpaCy, Gensim, OpenAI, LangChain, Llama-Index 📝
  • Computer Vision and Image Processing: OpenCV, FastAI, PIL, YoloV7, TorchVision 📷
  • MLOps: MLflow 🔄

Data Processing & Visualization:

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

Web & API:

  • Web Scraping: Requests, BeautifulSoup, Selenium 🕸️
  • API Endpoints: FastAPI, AWS, HuggingFace Space 🌐
  • Interactive Dashboards and Interfaces: Streamlit, Gradio 🖥️

Infrastructure:

  • Relational Database: MongoDB, MySQL, PostgreSQL 🗄️
  • Graph Database: SparQL, Neo4J 🕸️
  • Vector Database: FAISS, ChromaDB, Pinecone ↗
  • Version Control: GitHub 🔄
  • Infrastructure as Code: Terraform 🏗️
  • Containerization: Docker 📦

Project Management:

  • Project Management Tools: Jira, Notion 📋

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

Pinned

  1. 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 10 1

  2. 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 22 2

  3. 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 19

  4. langchain-rag-basic-to-advanced-tutorials langchain-rag-basic-to-advanced-tutorials Public

    It includes the concepts for RAG application from basics till advanced using LangChain library.

    Jupyter Notebook 12

  5. gemini-pro-vision-streamlit-application gemini-pro-vision-streamlit-application Public

    Multimodal application using Gemini API

    Python 6 1

  6. 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 10