Mohamed Nassar, Developer in 6th of October City, Giza Governorate, Egypt
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Mohamed Nassar

Verified Expert  in Engineering

Computer Vision Developer

6th of October City, Giza Governorate, Egypt

Toptal member since April 15, 2022

Expertise
PythonSoftware DevelopmentMachine LearningDeep LearningComputer VisionC#LinuxPenetration TestingDockerKubernetesTensorFlowDjango
Bio

Mohamed is an artificial intelligence (AI) team lead with three years of experience in computer vision and natural language processing (NLP), handling the whole pipeline of design, development, testing, and deployment into production. Most of his work is involved in document end-to-end analysis through document detection, layout analysis, text detection, OCR, information extraction, and semantic analysis.

Portfolio

Synapse Analytics
Python, Computer Vision, Generative Pre-trained Transformers (GPT)...
Synapse Analytics
Data Science, Machine Learning, Deep Learning
Valeo
Embedded Systems, C++, C#, AUTOSAR, Keras

Experience

  • Ubuntu Linux - 3 years
  • Python - 3 years
  • Computer Vision - 3 years
  • Generative Pre-trained Transformers (GPT) - 2 years
  • Natural Language Processing (NLP) - 2 years
  • Data Analysis - 2 years
  • Kubernetes - 2 years
  • DevOps - 1 year

Availability

Part-time

Preferred Environment

Slack, PyCharm, Ubuntu Linux, PIP, Django, Python, Keras, Jupyter Notebook, Data Science, TensorFlow

The most amazing...

...thing I’ve developed is an AI-based pipeline that reads captured receipts in two languages and extracts receipt data regardless of format, type, and structure.

Work Experience

AI Team Lead

2021 - PRESENT
Synapse Analytics
  • Developed an AI-based OCR that can read captured receipts in two languages and extract receipt data regardless of format, type, or structure.
  • Developed an AI-based pipeline that read generic documents, filtering their content, extracting relative information, and exporting the data to many different formats.
  • Learned how to handle the whole pipeline of design, development, and deployment into production.
Technologies: Python, Computer Vision, Natural Language Processing (NLP), Generative Pre-trained Transformers (GPT), Back-end, Data Analysis, DevOps, Keras, Jupyter Notebook, Data Science, TensorFlow

Junior ML and Data Scientist Engineer

2019 - 2021
Synapse Analytics
  • Participated in developing an auto-ML tool that takes a dataset as input and handles the entire data analysis pipeline, such as data loading, prepping, cleaning, visualization, engineering, and modeling.
  • Developed many forecasting models for different businesses.
  • Developed the infrastructure and base segmentation, detection, and classification models for an end-to-end document analysis task.
Technologies: Data Science, Machine Learning, Deep Learning

Software Engineer Trainee

2018 - 2018
Valeo
  • Participated in developing an AUTOSAR compliant FEE memory modules.
  • Developed three automation tools that saved 600 working hours and helped the team achieve 25% of their annual research and development.
  • Gained a lot of knowledge about the automotive industry and AUTOSAR.
Technologies: Embedded Systems, C++, C#, AUTOSAR, Keras

Experience

Receipt Data Extractor

Created an AI-based pipeline that consists of multiple modules (document detection, text detection, OCR, and semantic analysis) that can read any camera-captured receipts in two languages (Arabic, English, or mixed) and extract detailed receipt information regardless of the receipt format, type, or structure.

Azka Analytics

Developed a powerful auto-ML tool that receives a dataset as input and handles the entire data analysis pipeline such as data loading, prepping, cleaning, visualization, engineering, and data modeling.

Augmented Reality HeadUp Display

Developed an augmented reality Head-up display kit that leverages the power of object detection algorithms to capture the surrounding environment (pedestrians, cars, traffic signs) to notify drivers of any potential risks and make it easier for the driver to deal with GPS instructions, mobile notifications, traffic signs, and media playing.

Education

2019 - 2022

Master's Degree in Artificial Intelligence

Cairo University - Cairo, Egypt

2013 - 2018

Bachelor of Science in Electronics and Electrical Communication Engineering

Cairo University - Cairo, Egypt

Certifications

JANUARY 2014 - PRESENT

White Hat Hackers Hall of Fame

Facebook

JANUARY 2013 - PRESENT

Microsoft Student Stars

Microsoft

Skills

Libraries/APIs

Keras, TensorFlow

Tools

PyCharm, Slack, MATLAB

Languages

Python, C#, C++, Java

Platforms

Jupyter Notebook, Ubuntu Linux, Docker, Kubernetes

Frameworks

Django

Paradigms

Penetration Testing, DevOps

Other

PIP, Software, Machine Learning, Deep Learning, Probability Theory, Computer Vision, Software Engineering, Data Science, Embedded Systems, Operating Systems, Statistics, Natural Language Processing (NLP), Back-end, Data Analysis, AUTOSAR, Data Visualization, Augmented Reality (AR), Generative Pre-trained Transformers (GPT)

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