Computer vision Engineer                                                                            Jan 2020- present
@Advanced Programs Co Trd

Data Engineer                                                                                       May 2019 - October 2019
@Appen

AI Engineer Intern                                                                                        Aug 2019 - Sep 2019 

Sep 2019
Computer vision nanodegree projects @ Udacity

• Facial key point detection
• Automatic Image Captioning
• Landmark Detection & Tracking

Sep 2019
@PaxeraHealth Internship

Applying my Deep learning knowledge in health care field in different projects such as :

• Chest X-ray , Mammography ,..etc 
• Deploying DL models  using Flask , FastCGI and IIS (Microsoft server)
• Have worked with different and efficient Deep Neural Networks such ( DensNets , ResNets , SENets ENASNets , etc) 
• Using the latest optimization and regularization techniques such as RAdam, , Snapshot ,Cos annealing, schedule and more
• Using different Ensemble Techniques that fit with DL models

2018 - 2019 
Graduation project @ Helwan Uni.

"Real time Pose trainer"

We have made a GUI Deep learning application that detect and evaluate how correct is the exercise which the patient have performed (Either physical therapy or Fitness exercises) , and give them a written feedback about their exercise if it's correct or wrong and how to improve it at different cases , We detect either in real-time or with a recorded video , and this is all after "Detecting human pose and keyPoints stage " , For more clearness just click on this videos , Code not published yet Skills that i've gained : which mentioned below in skills section of AI 

May 2019
Parkinson-s-Diseases-Classification-Using-Force-Field 

Using Matlab , Dataset from phsyonet , stages were
 (Pre-processing data, Feature extraction and Knn Classifier ) Code and discussion available here