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mostaphaelansari/README.md

Mostapha El Ansari

LinkedIn Kaggle HuggingFace LeetCode Deep-ml

Machine Learning Engineer student specializing in Large Language Models, NLP, and deep learning. Focused on building production-grade AI systems and understanding algorithms from first principles.

Projects Portfolio

RAG & LLM Systems

Project Description Tech Stack
RAG-Project Complete RAG system for PDF Q&A with semantic search LangChain, Local LLMs, Vector DB
LLM Document Q&A Document analysis with LLAMA 3.2 LLAMA 3.2, RAG, Gradio
Text-to-SQL Natural language to SQL converter Deepseek, SQLite, Web App

Educational & Research

Project Description Tech Stack
ML/DL from Scratch Foundational ML/DL algorithms NumPy
ML Papers Implementation Research paper implementations PyTorch, NumPy

Applied ML Systems

Project Description Tech Stack
Semantic Book Recommender Content-based recommender with emotion filtering LangChain, ChromaDB, Gradio
Image Augmentation App Batch image augmentation tool Streamlit, Computer Vision

Tech Stack

ML/DL Frameworks

PyTorch TensorFlow Hugging Face scikit-learn NumPy Pandas OpenCV

Deployment & MLOps

Docker Kubernetes FastAPI MLflow AWS Google Cloud

Languages

Python C++ R

Current Focus

  • Fine-tuning LLMs for specialized applications
  • Building scalable RAG systems
  • Multi-modal models (text, vision, audio)
  • Prompt engineering for zero/few-shot learning

Connect

📧 elansarimostapha011@gmail.com
🌐 elansarimostapha.ai


Building intelligent systems that bridge research and production.

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  1. streamlit-image-augmentation-app streamlit-image-augmentation-app Public template

    Image Data Augmentation App is a user-friendly and powerful tool designed to perform image augmentation on multiple images simultaneously. Built with Streamlit and PyTorch, this app enables data sc…

    Python 1

  2. LLM-Powered-Document-Q-A-with-Llama-3.2 LLM-Powered-Document-Q-A-with-Llama-3.2 Public

    A Retrieval-Augmented Generation (RAG) application that enables intelligent document analysis and question answering using Llama 3.2. Built with Streamlit, Langchain, and Ollama.

    Python 2

  3. Youtube-Video-Summarizer-with-Llama3.2 Youtube-Video-Summarizer-with-Llama3.2 Public

    This project is a YouTube Video Summarization App that leverages LangChain, Llama3.2, YouTube Transcript API, and Streamlit to provide concise summaries of YouTube video transcripts. The app extrac…

    Python

  4. Semantic-Book-Recommender Semantic-Book-Recommender Public

    A semantic book recommendation system that combines content analysis with emotional tone filtering. Built with LangChain, ChromaDB, and Gradio.

    Jupyter Notebook 2

  5. aymaneelfahsi1/UnsupervisedML_GAN_TransUNET_SegmentationCovid aymaneelfahsi1/UnsupervisedML_GAN_TransUNET_SegmentationCovid Public

    Jupyter Notebook