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Marzuk Kamal

data science, nlp, chatbot, python, javascript

En télétravail depuis Paris

  • 48.85661400000001
  • 2.3522219000000177
Proposer un projet La mission ne démarrera que si vous acceptez le devis de Marzuk.
Proposer un projet La mission ne démarrera que si vous acceptez le devis de Marzuk.

Localisation et déplacement

Localisation
Paris, France
Télétravail
Effectue ses missions majoritairement à distance

Préférences

Durée de mission
  • ≤ 1 mois
  • entre 1 et 3 mois
  • entre 3 et 6 mois
  • ≥ 6 mois

Vérifications

Influence

Langues

Catégories

Compétences (25)

Marzuk en quelques mots

I have over 10 years of experience on machine learning /deep learning. Some of the areas I have used machine learning are natural language processing/understanding (NLP/NLU), image analysis, time series analysis, unsupervised learning, predictive modelling etc. I am leading our current company AeonX AI, which specialises in online and offline virtual assistant/chatbot and natural language processing technologies, chatbot design platform. At AeonX, I have designed a proprietary NLP engine that is highly customisable and works both online and offline on mobile devices.

Expériences

AeonX AI

High tech

Founder and Chief Data Scientist

Paris, France

juillet 2017 - Aujourd'hui

At AeonX, we are highly focused in Natural Language Processing, Chatbot technology development as well as integration of chatbots to enterprise backend such as Dynamics 365, Azure/AWS components. Our focus is to reduce repetitive tasks in Facility Management, Resource scheduling, FAQ response using smart virtual assistants.

Our activities include
- Technology development around multi-language Natural Language Processing (AeonX NLP Engine).
- Using AeonX NLP Engine, End-to-End development of Chatbots for enterprises.
- Tools for chatbot user interface such as Email, Messenger, Telephone
- Provide chatbot management backoffice
- React and React Native based Application development to support the chatbot engine
NLP Machine Learning Deep Learning Python Nodejs Tensorflow PyTorch mxnet

Infinet

High tech

CEO, Founder

Paris, France

février 2016 - Aujourd'hui

Application of Deep Learning for:
  • Classification of various breast cancer types from histological images.
  • Diagnosis of various stages of diabetic retinopathy from ophthalmoscopic images using deep learning methods.
  • Diagnosis and volume of Brain MRI images using deep neural network (CNN, FCN etc)
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  • Inverse image search using deep learning model and Elsaticsearch
  • Analysis of unstructured medical data using various NLP methods.
Tensorflow Keras MXNet scikit-learn Python C++ Spacy NLTK pattern CNN FCN DeconvNet LSTM Angular2 Typescript/Javascript Elasticsearch NodeJS Team Management

Archimej Technology

High tech

Chef de Projet

91400 Saclay, France

septembre 2014 - janvier 2016

  • Data analysis using theoretical modeling and machine learning tools
  • Simulation of heat distribution on electric circuits
  • Programming microcontrollers (PIC32, Arduino, AVR)
Machine Learning Embedded system PIC32 AVR C++ Arduino Spectral Data Analysis Python

Institut Curie

Centres de recherche

Post-doc ComputatIonal Physics

Paris, France

mai 2011 - juin 2014

1 recommandation externe

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