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Definition of Reputation Credits
Aya Nasser Mohammed
A passionate Machine Learning |Computer Vision Engineer who always looking for new challenges
Cairo, EG
+201288149179 || +201118078643
Date of Birth: 02-04-1996
aya.nasser.mohammed@gmail.com
Education
Helwan University, Bachelor's in Biomedical Engineering 2014 ~ 2019
Graduation project : Exceptional A+ , Cumulative assessment : Very Good with honor
Work Experience
Computer vision Engineer Jan 2020- present
@Advanced Programs Co Trd
- Working on video analytics project to turn Riyadh city to AI smart city
- Video analytics projects solved with both classical and deep learning solutions
- Dataset collecting, cleaning, ..etc
- Hands on experience with openvino | Intel models
- Hands on experience with Deepstream |Nvidia TLT
Data Engineer May 2019 - October 2019
@Appen
I worked remotely with Appen as a Data Engineer in different tasks such as : - Collecting data | Web scraping
- Data augmentation
- Exploring, Cleaning data
- Data visualization
- Data Classification and rating
AI Engineer Intern Aug 2019 - Sep 2019
@PaxeraHealth.
- Worked on Deep learning - Computer vision projects in Health-Care field
(Chest Xray, Mammography, etc.) - 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
- Have implemented with Pytorch , Fastai
- Gained experience in Deploying DNN models by using (Flask , FastCGI, IIS )
(Chest Xray, Mammography, etc.)
Volunteering Experience
1. Campus Ambassador@
Hult Prize Foundation
2017 - 2018
2. Chair Lady
Biomedical Club
2016 - 2017
3. IT and HR member IEEE|HSB
2016 - 2017
Online Courses
1. Deep Learning Specialization a 5-course specialization
@ deeplearning.ai
2. Machine Learning Specialization a 4-course specialization
@ University of Washington
3. Computer Vision Courses
@ Stanford and Udemy
4. Computer Vision nanodegree @Udacity
5. Data Analysis nanodegree @Udacity
Projects
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
Accomplishments and Honours
Code Battle By A2OJ and WUZZUF
Egypt’s first programming competition, semi-finalist
IEEEXtreme
Enrolling in IEEEXtreme for the first time - 11th place in Egypt
Maker Hackathon Hardware
Team Leader
We make a prototype (wearable suit that indicate some medical parameter) and we won invitation to London (Hult prize Finalists Camp )
Skills
AI
- Python
- Anaconda | Docker
- ML | DL | CNN
- Keras |Tensorflow |Pytorch | Onnx
- Computer Vision | Image
Processing
- Data Cleaning |Exploring|
visualization
- Descriptive and inferential statistics
- Deploy DNN models on IIS
- Github | git
- Linux
- Deepstream5
- OpenVino
visualization
Personal Skills
- Highly management skills
- Very high research skills
- Problem solver
- Excellent self learner
- Excellent with time management
- Excellent communication skills
- Excellent presenter
- Very Flexible
- Easily work with a team or individually
Languages :
- Arabic - Native(Mother tongue)
- English - Advanced
References
Nancy Salem
Professor at faculty of Engineering Helwan Uni.
Email: [email protected]
Phone: +201009161388
Aya Nasser Mohammed
A passionate Machine Learning |Computer Vision Engineer who always looking for new challenges
Cairo, EG
+201288149179 || +201118078643
Date of Birth: 02-04-1996
aya.nasser.mohammed@gmail.com
Education
Helwan University, Bachelor's in Biomedical Engineering 2014 ~ 2019
Graduation project : Exceptional A+ , Cumulative assessment : Very Good with honor
Work Experience
Computer vision Engineer Jan 2020- present
@Advanced Programs Co Trd
- Working on video analytics project to turn Riyadh city to AI smart city
- Video analytics projects solved with both classical and deep learning solutions
- Dataset collecting, cleaning, ..etc
- Hands on experience with openvino | Intel models
- Hands on experience with Deepstream |Nvidia TLT
Data Engineer May 2019 - October 2019
@Appen
I worked remotely with Appen as a Data Engineer in different tasks such as : - Collecting data | Web scraping
- Data augmentation
- Exploring, Cleaning data
- Data visualization
- Data Classification and rating
AI Engineer Intern Aug 2019 - Sep 2019
@PaxeraHealth.
- Worked on Deep learning - Computer vision projects in Health-Care field
(Chest Xray, Mammography, etc.) - 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
- Have implemented with Pytorch , Fastai
- Gained experience in Deploying DNN models by using (Flask , FastCGI, IIS )
(Chest Xray, Mammography, etc.)
Volunteering Experience
1. Campus Ambassador@
Hult Prize Foundation
2017 - 2018
2. Chair Lady
Biomedical Club
2016 - 2017
3. IT and HR member IEEE|HSB
2016 - 2017
Online Courses
1. Deep Learning Specialization a 5-course specialization
@ deeplearning.ai
2. Machine Learning Specialization a 4-course specialization
@ University of Washington
3. Computer Vision Courses
@ Stanford and Udemy
4. Computer Vision nanodegree @Udacity
5. Data Analysis nanodegree @Udacity
Projects
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
Accomplishments and Honours
Code Battle By A2OJ and WUZZUF
Egypt’s first programming competition, semi-finalist
IEEEXtreme
Enrolling in IEEEXtreme for the first time - 11th place in Egypt
Maker Hackathon Hardware
Team Leader
We make a prototype (wearable suit that indicate some medical parameter) and we won invitation to London (Hult prize Finalists Camp )
Skills
AI
- Python
- Anaconda | Docker
- ML | DL | CNN
- Keras |Tensorflow |Pytorch | Onnx
- Computer Vision | Image
Processing
- Data Cleaning |Exploring|
visualization
- Descriptive and inferential statistics
- Deploy DNN models on IIS
- Github | git
- Linux
- Deepstream5
- OpenVino
visualization
Personal Skills
- Highly management skills
- Very high research skills
- Problem solver
- Excellent self learner
- Excellent with time management
- Excellent communication skills
- Excellent presenter
- Very Flexible
- Easily work with a team or individually
Languages :
- Arabic - Native(Mother tongue)
- English - Advanced
References
Nancy Salem
Professor at faculty of Engineering Helwan Uni.
Email: [email protected]
Phone: +201009161388