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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. gemma3-270M-tinystories-pytorch gemma3-270M-tinystories-pytorch Public

    A complete PyTorch implementation of Google's Gemma3 270M language model, featuring sliding window attention, RoPE positional encoding, and efficient training infrastructure.

    Python 43 6

  2. youtube-video-analysis-toolkit youtube-video-analysis-toolkit Public

    AI-powered YouTube video analysis toolkit using MCP. Extract transcripts, generate knowledge graphs, generate high-quality detailed notes, perform sentiment analysis, and topic modeling through an …

    Python 13 4

  3. video-rag-bot video-rag-bot Public

    Multi-modal video search engine using CLIP embeddings and vector database.

    Python 14

  4. ner-electrical-engineering-finetuning ner-electrical-engineering-finetuning Public

    This repository includes notebooks starting from data tokenization and fine-tuning of BERT models including ModernBERT, till upload models to the hub for Electrical Engineering NER task.

    Jupyter Notebook 6 2

  5. 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 8 1

  6. scoutsense-recruit scoutsense-recruit Public

    ScoutSense - Recruit revolutionizes the recruitment process by combining smart candidate evaluation with automated interview preparation. Essential for recruiters, hiring managers, and HR professio…

    Python 8 2