- Lowongan
- Panduan KarirPengembangan KarirWawancara Orang/PerusahaanBusiness ExcellenceDari CakeResumeBacaan Unggulan
- Untuk Perusahaan
- Download aplikasi CakeResume
CakeResume Talent Search
Paket Perekrutan Paling Mudah dan Efektif, Pilihan Ratusan Perusahaan
Cari lebih dari 800 ribu CV dan ambil aksi menghubungi pelamar kerja untuk rekrutmen yang lebih efektif. Pilihan ratusan perusahaan.
- Lihat semua hasil pencarian
- Tanpa batas harian untuk memulai pesan baru
- CV dapat diakses oleh perusahaan berbayar
- Lihat email pengguna & nomor telepon
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