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Electronics Machine Learning (ML) Microcontroller Python Robotics
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$25 USD / heure
Drapeau de EGYPT
damanhour, egypt
$25 USD / heure
Il est actuellement 11:53 AM ici
Membre depuis le août 15, 2015
2 Recommandations

Ahmed O.

@ahmednaserokasha

5,0 (13 commentaires)
4,2
4,2
$25 USD / heure
Drapeau de EGYPT
damanhour, egypt
$25 USD / heure
93 %
Travaux complétés
88 %
Suivant le budget
89 %
Dans les temps
31 %
Taux de réembauche

Robotics, ROS, AI Engineer

Greetings, I'm Ahmed. Thank you for visiting my Profile. I have +4 years’ experience in the fields of Robotics, ROS2 , Python, CPP, Electronics, Machine Learning, and Deep Learning. Presently, I am employed as a Robotics and AI Engineer at Trabotyx, a robotics startup focusing on agricultural robotics and delivering accurate weed control solutions for organic farmers. Specifically, I have extensive experience with the following technologies : ----------------------------------------------------------------------------------------- • Robot Operating System (ROS/ ROS2) • Python • C++ • Mapping • Localization • Path Planning • Autonomous Navigation • Computer Vision • RC robots’ systems • Hardware and sensors selection • Raspberry Pi • Jetson Boards( Nano, Xavier) • Deep Learning, Machine Learning solutions. • Object Detection • Data Featurization Extra skills : --------------- • Scikit-learn, Pandas, NumPy • Web Scraping • Data Exploration, Data cleaning, and bias analysis • SQLite3 databases • PCB Design Hardware and sensors experience : ------------------------------------------- • Cameras( Pi camera, ZED1/ ZED2 camera, Thermal imaging) • IMUs (Accelerometers, Gyros, Magnetometers) • Distance sensing ( IR, Ultrasonic, Proximity ) • LIDAR sensing • GPS modules • Motor drivers • Stepper Motors • Servo Motors Recent Projects: -------------------- • Implemented a visual servoing controller in CPP based on literature techniques • Developed a crop line detection based on Adaptive-ROI methods and implemented with Python • Building a compatible Navigation2 Three-Point-Turn controller • Constructed a robot mission management system using BehaviorTree.CPP and integrated it with ROS2 • Implemented autonomous navigation system for outdoor agricultural robots using Navigation2 & ROS2 • Building my robot platform for autonomous indoor navigation tasks and object Detection using ROS & Navigation stack. • Developed a 4WD robot for indoor autonomous or manual navigation using ROS, SLAM, LIDAR, move-base, Gazebo, and Raspberry Pi with added temperature and humidity sensors • Incorporated YOLOv3 /YOLOv5 into various robot platforms • Optimize GoPiGo Robot using ROS and distance sensors to allow the robot to autonomously navigate its environment while avoiding obstacles. • Integrating many AI capabilities like object detection, voice commands, and TTS into a robot platform. • Constructed a cheap bump detection and localization device using GPS, IMU, and ROS • Developed a DNN using NumPy with options for optimization, activation functions, layer number, loss functions, and regularization techniques such as Dropout and L2 regularization. • Created an accident detection algorithm using accelerometer data based on literature benchmarking methods • Conducted digital data processing, filtering, and visualization, and created an ML model for PPG signal to measure blood pressure and detect anxiety
Freelancer Python Developers Egypt

Contactez Ahmed O. concernant votre emploi

Connectez-vous pour discuter des détails via la messagerie.

Éléments du portfolio

This is AIO_Robot, my new robot platform, I've built it to integrate all my experience and test it all in one robot.
I've integrated the hardware and components on my own to get the most experience and avoid the high cost of the available platforms.
 
V0.1 video link:

https://www.youtube.com/watch?v=xwm7lBIWZtw&t

The project is under continuous development but the working features till now are:
1- Built upon the Robot Operating System(ROS)
2- 4WD stepper motors base with skid-steering drive
3- Raspberry Pi or Jetson Nano as the main board
4- Manual control either using the console or a third-party Mobile App (ROS Control)
5-Localization, Mapping using LIDAR only and hector_slam ROS package
6- Autonomous Navigation, path planning, object avoidance using move-base.
7- Object Detection and Localization using YOLOv3 reaching 4fps when streaming from the robot using picamera and running the algorithm on another machine with CUDA-enabled GPU
AIO_Robot platform V0.1
This is AIO_Robot, my new robot platform, I've built it to integrate all my experience and test it all in one robot.
I've integrated the hardware and components on my own to get the most experience and avoid the high cost of the available platforms.
 
V0.1 video link:

https://www.youtube.com/watch?v=xwm7lBIWZtw&t

The project is under continuous development but the working features till now are:
1- Built upon the Robot Operating System(ROS)
2- 4WD stepper motors base with skid-steering drive
3- Raspberry Pi or Jetson Nano as the main board
4- Manual control either using the console or a third-party Mobile App (ROS Control)
5-Localization, Mapping using LIDAR only and hector_slam ROS package
6- Autonomous Navigation, path planning, object avoidance using move-base.
7- Object Detection and Localization using YOLOv3 reaching 4fps when streaming from the robot using picamera and running the algorithm on another machine with CUDA-enabled GPU
AIO_Robot platform V0.1
Using AlexNet to classify sign-language numbers and translate them to the correct written form after training for 30 epochs.
The project was part of The Robotics Software Developer Nanodegree course made my Udacity.

DIGITS which is a platform made by Nvidia for Neural Networks application helps in simplifying the implementation of AlexNet, dealing with datasets, training, and evaluating models.

Project link :
https://github.com/ahmedokasha000/RoboND-Robotics-Inference-
CNN Sign-language Classifier
Autonomous Exploration and Mapping of unknown areas using the Robot Operating System (ROS) and Gazebo simulation.

Packages used in this project :
-rrt_exploration
-Gmapping
-navigation stack
The robot model includes :
-A differential drive controller
-Hokuyo laser range finder

The field of the project is built using Gazebo model editor and saved as a .world file to be launched during the project. Final results consist of 2D map of the field.
Autonomous Exploration & Mapping Project
Autonomous Exploration and Mapping of unknown areas using the Robot Operating System (ROS) and Gazebo simulation.

Packages used in this project :
-rrt_exploration
-Gmapping
-navigation stack
The robot model includes :
-A differential drive controller
-Hokuyo laser range finder

The field of the project is built using Gazebo model editor and saved as a .world file to be launched during the project. Final results consist of 2D map of the field.
Autonomous Exploration & Mapping Project
SLAM Project for localizing and mapping an indoor environment using Robot Operating System (ROS) and Gazebo simulation.

The robot model includes :
   -Skid steering drive controller
   -Hokuyo laser range finder
   -Openni Kinect RGBD Camera
   -IMU sensor

Final results consists of 2D and 3D maps of the environment and database of the previous process.
Simultaneous Localization And Mapping Project (SLAM)
SLAM Project for localizing and mapping an indoor environment using Robot Operating System (ROS) and Gazebo simulation.

The robot model includes :
   -Skid steering drive controller
   -Hokuyo laser range finder
   -Openni Kinect RGBD Camera
   -IMU sensor

Final results consists of 2D and 3D maps of the environment and database of the previous process.
Simultaneous Localization And Mapping Project (SLAM)
Gazebo Robot Model for Localization and mapping tasks with the following features supported :
 - Skid-Steering Controller
 - Openni Kinect RGBD Camera
 - IMU sensor
 - GPS module
Gazebo Robot Model
In this project i was responsible for implementing the localization module,building ROS system for the robot on the Raspberry Pi board and Integrating all the modules together.
In this project, a four-wheeled robotic rover is built to mimic the disposal of landmine-affected areas safely without hazard to humans.
the robot is teleported manually from a station located in a safe zone outside mines area with a joystick and GUI built for monitoring robot status.Landmine area is scanned with a metal detector sensor implemented on the rover to detect both surface and buried mines up to 40 cm depth.
Mines location data is collected through a localization module to build a map for the scanned area with mines location flagged. Robot’s Localization module is implemented to accurately
obtain rover’s position in a Real-time process, this module consists of a variety of sensors and a software built for calibration and fusion of the readings. Robot’s design was built with a main goal set ahead to su
MinSweepers 2019 Robot

Commentaires

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$85,00 USD
ahmed is working perfect he finish on the time
Raspberry Pi
A
Drapeau de Abeer B. @alrahood128
il y a 3 ans
5,0
$200,00 USD
As before, Ahmed did an amzing job, much better than I was expecting. He constructed a websacraper to download CVS files from a website, installed virtual machine in my computer to run the project, and did 100% of the details I asked him. HE understood perfectly from the begining. Just amazing!!!!
Python Microcontroller Machine Learning (ML) Robotics
+1 de plus
Avatar de l'utilisateur
Drapeau de Mario A. @arendmario
il y a 3 ans
5,0
$40,00 USD
Great job, he solved my problem. He showed a lot of knowledge. Very well impressed of Ahmed O. Defenetly recommend him 100%
Python Tensorflow
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Drapeau de Mario A. @arendmario
il y a 3 ans
5,0
$60,00 USD
Ahmed is a geniuos Python Programmer, thx a lot!
Python
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Drapeau de Oliver S. @aringoluftbilder
il y a 3 ans
5,0
€100,00 EUR
Ahmed finished the task to our full satisfaction. Communication was very good.
Python Microcontroller Machine Learning (ML) Robotics
+1 de plus
Avatar de l'utilisateur
Drapeau de Janek F. @janekfrick92
il y a 3 ans

Expérience

Robotics, AI Engineer

Trabotyx
oct. 2020 - Jusqu'à présent
● Designing and implementing software using C++ and Python in Linux ● Developing C++, Python ROS/ROS2 packages and DL models for vision tasks ● Analyzing data and optimizing algorithms using Python ● Designing software architecture for robotic systems ● Testing code in simulated environments ● Developing software for navigation, control and sensor integration ● Working with sensors such as IMU, GPS, cameras, LIDARs and implementing path planning and mission control

Independent Consulting

Udacity
juin 2020 - nov. 2020 (5 mois, 1 jour)
As a consultant to educational platform(s), such as Udacity, I utilize my specialized knowledge in the fields of Deep Learning, AI and my strong communication skills to provide some mentor services like: project reviews and other student support services.

Tensorflow In Practice Speclialization

via Coursera
sept. 2019 - oct. 2019 (1 mois, 1 jour)
Aims to establish good understanding of the tools software developers use to build scalable AI-powered algorithms in TensorFlow.

Éducation

Robotics Software Engineer From Udacity

Egypt 2018 - 2019
(1 an)

Electronics and Communication Engineering

Alexandria University, Egypt 2014 - 2019
(5 ans)

Contactez Ahmed O. concernant votre emploi

Connectez-vous pour discuter des détails via la messagerie.

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Meilleures compétences

Python 9 Robotics 6 Microcontroller 5 Machine Learning (ML) 5 Electronics 2

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