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ahmedsleem109/README.md
Typing SVG

LinkedIn GitHub Location Open to Work


About Me

class AhmedSelim:
    def __init__(self):
        self.role        = "Machine Learning Engineer"
        self.domains     = ["ML/DL", "Computer Vision", "Robotics", "Control Systems", "Mechatronics"]
        self.education   = "BSc Mechatronics & Robotics — GUC (GPA 3.4/4.0, Thesis: A+)"
        self.experience  = "3+ years deploying ML models on robotics platforms"
        self.cloud       = ["AWS SageMaker", "AWS Lambda", "S3", "EC2"]
        self.languages   = ["English (Fluent)", "German (Intermediate)", "French (Intermediate)"]
        self.location    = "Cairo, Egypt — works remotely with global teams"

    def now(self):
        return "Fine-tuning LLMs · deploying vision models · building autonomous systems"

Domains

🤖 ML & Deep Learning 🦾 Robotics & ROS2 ⚙️ Mechatronics 🎛️ Control Systems
Fine-tuning LLMs & foundational models Autonomous motion planning Embedded sensing & hardware integration MPC · EKF · PID
Vision models & object detection Real-time ML on robotic platforms Sensor fusion & prototype engineering State machines · vehicle dynamics
Data pipelines & annotation workflows CARLA · Gazebo simulation Actuator & motor control Kalman filtering · localization
AWS SageMaker deployment ROS2 pub/sub · services · actions PCB & system architecture A* · Hybrid A* path planning

Tech Stack

Languages

Python C++ C Bash MATLAB

ML / AI & Computer Vision

PyTorch HuggingFace OpenCV scikit-learn NumPy

Cloud & MLOps

AWS SageMaker Docker Kubernetes GitHub Actions

Robotics & Simulation

ROS2 Linux Raspberry Pi Simulink

Dev Tools

Git VS Code Helm Prometheus


Featured Projects

Project Description Stack
🔍 vision-motion-detection Real-time motion detection, multi-object tracking & monocular depth estimation on embedded hardware PyTorch OpenCV MiDaS Docker
🚗 av-motion-planning-ros2 Modular autonomous driving stack — A*, EKF, behavior FSM — validated in CARLA simulator ROS2 Python CARLA EKF
☁️ sagemaker-image-classifier End-to-end fine-tuning pipeline (ResNet/EfficientNet) with SageMaker training jobs & live endpoint AWS SageMaker PyTorch S3
🏷️ data-annotation-pipeline Automated dataset curation — YOLOv8 pre-labeling, quality filtering, Label Studio, versioned S3 YOLOv8 Label Studio S3
🤖 llm-document-processor Mistral-7B fine-tuned via QLoRA for document classification & extraction on AWS Lambda Mistral-7B QLoRA Lambda PEFT

GitHub Stats

GitHub Streak


Building at the intersection of intelligence and physical systems Cairo, Egypt · Open to remote opportunities worldwide

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