Ahmed M. Profile

5.0

(2 reviews)

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$25 USD / hour

bani suef,

egypt

$25 USD / hour

It's currently 7:25 PM here

Joined May 13, 2020

0 Recommendations

Ahmed M.

@Ahmedmoawad125

5.0

(2 reviews)

1.9

100%

$25 USD / hour

bani suef,

egypt

$25 USD / hour

100%

Jobs Completed

100%

On Budget

100%

On Time

N/A

Repeat Hire Rate

Deep Learning| Computer Vision Engineer

I'm an experienced Computer Vision Engineer who has worked on a range of projects. I am fond of starting from scratch and thus think out of the box as I would work on a whole product, rather than just a codebase. I'd love to help you out with your computer vision and machine learning/deep learning project(s). Let's solve it together... My key technical skills: - Programming Languages: Python, C, C++, Matlab - Machine Learning / Deep Learning Frameworks: TensorFlow, Keras, Scikit-learn - Model Types: Artificial Neural Networks (ANN), Convolutional Neural Networks (CNN) - Data Manipulation / Image Processing: Numpy, Pandas, OpenCV, Matplotlib

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Portfolio

COVID-19 ... Detecting face masks with Keras and OpenCV
In this project:
1. I loaded the face masks detection dataset from disk, trained a model (with Keras and using the pre-trained MobileNet V2 architecture and its weights) on this small dataset, and then saved the face mask classification model with accuracy = 99.7 % (where the Transfer learning technique improved the accuracy by 6%).

2. loaded the face mask classification model, and then classifying (with OpenCV) each face in the image as Mask or no_Mask.

Covid-19 Face Mask Detector

Skin Cancer Classification using CNN | Keras

Skin Cancer Classification | Keras

6526046

Implemented the Unscented Kalman Filter in C++ to estimate the state of multiple cars on a highway using noisy LIDAR and RADAR measurements.

Tracking Multiple Cars On The Highway

6526044

Implemented a controller in python and used it to drive a car autonomously around a track in CARLA simulator. For longitudinal control, I implemented a PID controller. For lateral control, I implemented the Stanley controller.

Self Driving Vehicle Control

6526024

● Implemented The 3D RANSAC algorithm in C++ to Segment the filtered Point Cloud Data (PCD) into two parts, road, and obstacles.
● Implemented The Euclidean clustering algorithm along with the KD-Tree in C++ to Cluster the obstacle cloud.

LIDAR Obstacle Detection

Covid-19 Face Mask Detector

Skin Cancer Classification | Keras

6526046

Tracking Multiple Cars On The Highway

6526044

Self Driving Vehicle Control

6526024

LIDAR Obstacle Detection

Reviews

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Showing 1 - 2 out of 2 reviews

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5.0

$45.00 USD

Programming using CARLA simulation and PYTHON

Good job. Fast and accurate.

C Programming

Java

Python

Software Architecture

Machine Learning (ML)

Ammory A.

@ammory2014

•

4 years ago

5.0

$60.00 CAD

Python project aid

Ahmed M. is the most intelligent freelancer (a professor, obvious EXPERT) that I have EVER worked within my life! He not only solved the problem extremely fast, like half an hour fast (while other freelancers quoted me 5 days on average), but he also took so much time to explain the solution step by step answer all of my beginner level questions in a very detailed manner. I am so GLAD I FOUND AN EXPERT LIKE AHMED, I will be going to him for a lot more projects, he is going to be my GO TO PERSON!

Python

Machine Learning (ML)

Tensorflow

Keras

Deep Learning

Brinda Rebekah M.

@brindarebekah

•

4 years ago

Experience

AvidBeam

Feb 2021 - Present

Responsible for working on computer vision applications.

Nile University

Sep 2020 - Jan 2021 (4 months, 2 days)

Responsible for working on sensor fusion to obtain the highest possible accuracy of the position and attitude angles of the UAVs.

Egyptian Air Forces

May 2019 - Jun 2020 (1 year, 1 month)

Doing my mandatory military service and working on embedded systems for a year and two months.

Education

Aerospace Engineering

Cairo University,

Egypt

2013 - 2018

(5 years)

Qualifications

Coursera

2020

I successfully completed the TensorFlow in Practice Specialization by deeplearning.ai on Coursera.

Coursera

2020

I successfully completed the Deep Learning Specialization by deeplearning.ai on Coursera.

Uedmy

2020

I successfully completed the course Machine Learning Nanodegree on Udemy.

Publications

Kalman Filter from A to Z

Ahmed Moawad on LinkedIn

In this article, I have written a detailed explanation of the Kalman filter, beginning with the univariate Kalman filter, the multivariate Kalman filter, then the extended Kalman filter (EKF), and finally the unscented Kalman filter (UKF). l wish my article attract your attention and add to you something.