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$10 USD / heure
Drapeau de PAKISTAN
karachi, pakistan
$10 USD / heure
Il est actuellement 7:31 PM ici
Membre depuis le septembre 28, 2004
0 Recommandations

Noman I.

@vw1330866vw

5,0 (4 commentaires)
4,1
4,1
$10 USD / heure
Drapeau de PAKISTAN
karachi, pakistan
$10 USD / heure
100 %
Travaux complétés
100 %
Suivant le budget
98 %
Dans les temps
20 %
Taux de réembauche

Researcher and Software Developer, Content Writer

* BS, MS, PhD and PostDoc in Computer Science with 20 years of Research and development experience in industry, research center and universities. * More than 60 research publications in state-of-the-art journals and conferences. Research profile is available at Google Scholar. Publications in some of the very high impact factor journals * 1300 research citations and an h-index of 12 * Research areas are: deep learning, computer vision, blockchain, wireless and ad hoc network, software agents, semantic web, data mining, meta-verse * Very good at programming and my expertise lies in python, django, flask, react, reactnative, nextjs, aws, docker, kubernetes, tensorflow, scikitlearn, R
Freelancer Machine Learning Experts Pakistan

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Éléments du portfolio

Detection of fakenews using BERT
BERT based fake news detection
Detection of fakenews using BERT
BERT based fake news detection
Based on your text typed, it predicts the age and gender of a person
Using functional api to product age and gender in tensorflow
Based on your text typed, it predicts the age and gender of a person
Using functional api to product age and gender in tensorflow
It is a very common nlp problem. We have solved it using NLP
Named entity recognition
It is a very common nlp problem. We have solved it using NLP
Named entity recognition
Technical articles on Java and linux
Articles
Technical articles on Java and linux
Articles
This application uses the accelerometers data to detect kidnapping events using deep learning. The project is developed using ionic. Model was trained on tensorflow and tensorflowjs is used on mobile device to make predictions.
AntiChild Abduction Mobile App
This application uses the accelerometers data to detect kidnapping events using deep learning. The project is developed using ionic. Model was trained on tensorflow and tensorflowjs is used on mobile device to make predictions.
AntiChild Abduction Mobile App
This application uses the accelerometers data to detect kidnapping events using deep learning. The project is developed using ionic. Model was trained on tensorflow and tensorflowjs is used on mobile device to make predictions.
AntiChild Abduction Mobile App
This application uses the accelerometers data to detect kidnapping events using deep learning. The project is developed using ionic. Model was trained on tensorflow and tensorflowjs is used on mobile device to make predictions.
AntiChild Abduction Mobile App
Deep dream is one of the popular algorithm proposed by google to generate a hallucinated image from a source image. Here we have used tensorflow to process an image using deep dream algorithm. Sample snapshots at various stages of processing are shown
Deepdream using tensorflow - Tensorflow (CNN)
Deep dream is one of the popular algorithm proposed by google to generate a hallucinated image from a source image. Here we have used tensorflow to process an image using deep dream algorithm. Sample snapshots at various stages of processing are shown
Deepdream using tensorflow - Tensorflow (CNN)
Deep dream is one of the popular algorithm proposed by google to generate a hallucinated image from a source image. Here we have used tensorflow to process an image using deep dream algorithm. Sample snapshots at various stages of processing are shown
Deepdream using tensorflow - Tensorflow (CNN)
Deep dream is one of the popular algorithm proposed by google to generate a hallucinated image from a source image. Here we have used tensorflow to process an image using deep dream algorithm. Sample snapshots at various stages of processing are shown
Deepdream using tensorflow - Tensorflow (CNN)

Commentaires

Modifications enregistrées
Montre1 - 4 sur 4 commentaires
Filtrer les commentaires par : 4,6
$20,00 USD
This freelancer did the job effectively as stipulated in the contract.
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Drapeau de Puerto Rico Mapping @prmapping
il y a 3 ans
5,0
$55,00 AUD
thanks
Data Processing Technical Writing Machine Learning (ML) Data Science
+1 de plus
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Drapeau de Shivam K. @shivam31
il y a 4 ans
5,0
$410,00 USD
Excellent
Data Processing Machine Learning (ML) Data Science Neural Networks
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Drapeau de Ahmed I. @gabal92
il y a 5 ans
5,0
$600,00 USD
Excellent !
Report Writing Research Writing
J
Drapeau de Sam J. @Jhetie
il y a 9 ans

Expérience

Team Lead

Aladin Solutions
mars 2014 - Jusqu'à présent
• Employing YOLO technique for Biker’s helmet detection. • Fake news detection using LSTM, GRU, CNN, BERT and a range of other techniques • Worked on time series forecasting of COVID data using LSTM, RNN, ARIMA models. This also includes visualization of COVID trends, sentiment analysis • Worked on several medical applications such as diabetic retinopathy detection using CNN, cancer detection etc.

Team Lead

Technology Promotion International
août 2011 - mars 2014 (2 ans, 7 mois)
TPI delivers innovative engineering and information technology solutions to Government and also brings the benefits of these state of the art technologies to commercial enterprises. TPI conducts research and development in mechanical, electrical, and systems engineering as well as in real time intelligent software development. Some of the major projects, I worked as a software engineering in TPI includes: PSL, FUMS, Survey Designer, HFE, HRMS, WOTS, AMS, Airborne telemetry simulation

Sr. Software Engineer

Technology Promotion International, USA
août 2004 - juil. 2011 (6 ans, 11 mois)
Software development in Java, J2EE, XML, .net, HTML, JavaScript, Android

Éducation

PostDoc

Universiti Kuala Lumpur, Malaysia 2020 - 2021
(1 an)

PhD (CS)

National University of Computer and Emerging Sciences, Pakistan 2006 - 2013
(7 ans)

MS(CS)

National University of Computer and Emerging Sciences, Pakistan 2004 - 2006
(2 ans)

Qualifications

MTA Python

Microsoft
2019
Microsoft Technology associate python developer

Android Engineer

Open Embedded Software Foundation
2013
Mobile application development in Android platform using Java

070-480 HTML 5 / JavaScript

Microsoft
2013
I scored 100% marks in Microsoft 070-480 exam of HTML5 and JavaScript exam.

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Vérifications

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Certifications

vworker.png Foundation vWorker Member

Meilleures compétences

Machine Learning (ML) 3 Python 2 Data Processing 2 Neural Networks 2 Report Writing 1

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