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Achievement: Pull Shark

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AhmedYasser06/README.md

Welcome, I'm Ahmed Yasser 👋

Headline

AI & Machine Learning Engineer, with a strong Computer Engineering foundation, specializing in Computer Vision, Natural Language Processing, and Large Language Models (LLMs). Skilled in Python, PyTorch, LangGraph, LangChain, SQL, and Docker, AWS with a strong track record in conducting research and driving cross-functional collaboration to deliver impactful AI solutions. Expertise in designing and deploying scalable model architectures to solve complex real-world challenges through predictive analytics and automation.

My Tech Stack

AI & Machine Learning

Deep Learning

Computer Vision

NLP & LLMs

DevOps

Embedded Systems

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  1. EduFlowTA EduFlowTA Public

    AI-powered teaching assistant that transforms video lectures into quizzes and summaries helping course creators accelerate content creation and boost learner engagement.

    Python

  2. Group-Activity-Recognition Group-Activity-Recognition Public

    A modern implementation of CVPR 2016 paper: "A Hierarchical Deep Temporal Model for Group Activity Recognition."

    Python

  3. multi-task-chest-xray-analysis-system multi-task-chest-xray-analysis-system Public

    End-to-end PyTorch implementation of a multi-task chest X-ray analysis system for classification, object detection, and semantic segmentation using a shared DenseNet-121 encoder.

    Python

  4. urban-scene-segmentation urban-scene-segmentation Public

    Semantic Segmentation using U-Net and DeepLabV3+ in PyTorch with pretrained encoders, data augmentation, Dice + CrossEntropy loss, quantitative evaluation, and error analysis on the CamVid dataset.

    Jupyter Notebook

  5. Relational-Group-Activity-Recognition Relational-Group-Activity-Recognition Public

    A modern implementation of ECCV 2018 paper: "Hierarchical Relational Networks for Group Activity Recognition and Retrieval".

    Python

  6. MLOps-Fraud-Detection MLOps-Fraud-Detection Public

    End-to-end MLOps platform for credit card fraud detection, covering reproducible ML workflows, model registry, production serving, batch & streaming inference, performance optimization, load testin…

    HTML