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Michael G - Python developerLD Talent logo

Michael G

The star rating is calculated by averaging the reviews provided by all clients the talent has worked with for a significant amount of time.

If such data is not available, the star rating is calculated from the fraction of work sessions approved by their past clients versus the total tracked by the talent.

If such data is not available, the star rating defaults to the interview rating of the talent at the time of the vetting process.

Other data including reviews from interviews are available on the talents’ profiles.
Software Engineer Preferred Title
$20.00 /hr $ 20.0K /yr Hourly Rate and Yearly Salary
Overview Vetting Experiences Qualifications
Overview
Basic Summary
LD Talent History
  • Average Response Time 12.0 hours
  • Average Count of Messages/Day 0.2
  • Project Completion Rate 2/4
  • Interview Acceptance Rate 4/6
  • Timezone Overlap 31h PST, 52h UTC
Vetting Summary
  • Code Quality 60%
  • Soft Skill Attributes 60%
  • Expertise 2/3
  • Coding Challenges 60%
  • No. of Lifelong Learning Projects 2
  • No. of Coding Challenges Completed 2
  • More details
Interview Scores (3.6/5)
  • Software Engineering Process 4.0/5
  • Technical Breadth 3.0/5
  • Algorithmic Thinking 3.0/5
  • Technical Strength 3.0/5
  • Teamwork 4.0/5
  • Intellectual Merit 4.0/5
  • English Communication 4.0/5
Talent's Devices
  • Desktop Windows・Linux
  • Phone Android
General
  • Member Since Jan 18, 2023
  • Profile Last Updated Jun 16, 2023
  • Last Activity June 16, 2023, 9:32 p.m. UTC
  • Location Egypt
Profile Summary
I am a computer science BSc graduate with expertise in MERN, Java, and Spring Boot. I also have experience in NLP and machine learning using Python, PyTorch, scikit-learn, and pandas. I specialize in software engineering, delivering robust applications and implementing ML algorithms.
Skills
Total Experience: 2 years
  • Python (2E, 1Y)

    2 experiences, 1 year
  • JavaScript (2E, 1Y)

    2 experiences, 1 year
  • scikit-learn (1E, < 1Y)

    1 experience, less than a year
  • Jupyter (1E, < 1Y)

    1 experience, less than a year
  • Numpy (1E, < 1Y)

    1 experience, less than a year
  • PyTorch (1E, < 1Y)

    1 experience, less than a year
  • MongoDB (1E, < 1Y)

    1 experience, less than a year
  • Nodejs (1E, < 1Y)

    1 experience, less than a year
  • ExpressJS (1E, < 1Y)

    1 experience, less than a year
  • Firebase (1E, < 1Y)

    1 experience, less than a year
  • Dart (1E, < 1Y)

    1 experience, less than a year
  • Flutter (1E, < 1Y)

    1 experience, less than a year
  • Typescript (1E, < 1Y)

    1 experience, less than a year
  • React (1E, < 1Y)

    1 experience, less than a year
  • SharePoint (1E, < 1Y)

    1 experience, less than a year
  • SQL (1E, < 1Y)

    1 experience, less than a year
  • Data Analytics (1E, < 1Y)

    1 experience, less than a year
Weekly Availability
Timezone Overlap with 06 - 21 per Week: 31h PST, 52h UTC
Day
Sunday
Monday
Tuesday
Wednesday
Thursday
Friday
Saturday
UTC
10 - 16
10 - 18
10 - 18
10 - 18
10 - 18
10 - 18
10 - 16
PST
03 - 09
03 - 11
03 - 11
03 - 11
03 - 11
03 - 11
03 - 09
Vetting
  • Interview Data
  • Agile Development Process
  • Productivity and Responsiveness
  • Teamwork
  • Software Engineering
  • Logical Thinking
  • Technical Strength
  • Intellectual Merit
  • English Communication
  • Documentation
  • System Design
  • Coding Challenges
    60%
  • Algorithms Score
    60%
  • General Score
    60%
  • Easy Algorithm
  • Correctness
    60%
  • Performance
    60%
  • Medium Algorithm
  • Correctness
    60%
  • Performance
    60%
  • Hard Algorithm
  • Correctness
    60%
  • Performance
    60%
  • Expertise
    2/3
  • Design Patterns and Architectures
    2/3
  • Debugging
    2/3
  • Stack Traces
    2/3
  • Testing
    2/3
  • System Administration
    2/3
  • Soft Skill Attributes
    60%
  • Entrepreneurial
    60%
  • Whole Brained
    60%
  • Divergent Thinking / Creativity
    60%
  • Design Ability
    60%
  • Empathy
    60%
  • Project Management Ability
    60%
  • Security
    60%
  • Code Quality
    60%
  • Complex Logic
    60%
  • Models
    60%
  • Controllers
    60%
  • Templates
    60%
  • APIs
    60%
  • Training/Testing Data Models
    60%
  • Code Readability
    60%
  • Ongoing Evaluation
  • Number of Lifelong Learning Project
    2
  • Number of Coding Challenge Completed
    3
  • Lifelong Learning Project 1
  • Lifelong Learning Project 1
  • Coding Challenges 1
  • Coding Challenges 2
  • Coding Challenges 3
Experience
Flutter Developer
Course Project
Oct 2022 - Jan 2023
German University in Cairo Company
Technology Industry
Project: Used cars marketplace application
  • Dart
  • Firebase
  • Flutter
  • I built a car marketplace app where buyers can bid on and sell their used cars.
  • I developed the communication functionality "Chat" between the users using Flutter and Dart. Firebase Firestore database was used to store the application's data.
Front End Developer
Internship
Jul 2022 - Sep 2022
Henkel Company
Technology Industry
Project: Provisioning Engine
  • React
  • Typescript
  • SharePoint
  • JavaScript
  • I developed SharePoint web parts using TypeScript, React, and SharePoint Framework (SPFx).
  • I improved web part load time by 73% by refactoring the existing code base.
  • I created a new Provisioning Engine requests interface using React and JavaScript.
NLP Researcher
Internship
Feb 2022 - Jul 2022
Microsoft Company
Technology Industry
Project: Improving ASR Transcript Punctuation and Disfluency Detection for Downstream Task Machine Translation
  • Numpy
  • Jupyter
  • PyTorch
  • scikit-learn
  • Python
  • I developed a cascaded English-German speech translation system using PyTorch, Jupyter, and scikit-learn.
  • I improved translation accuracy by 15% by applying punctuation prediction and disfluency removal using Python.
  • I built a multimodal punctuation model based on the fusion of audio and text using PyTorch and Numpy.
Backend Developer
Course Project
Oct 2021 - Jan 2022
German University in Cairo Company
Technology Industry
Project: Airline reservation system
  • MongoDB
  • Nodejs
  • ExpressJS
  • JavaScript
  • I developed a website for ticket reservations using JavaScript, NodeJS, MongoDB, and ExpressJs. Users can reserve and pay for flights and select specific seats.
  • I developed the backend features of the website, including reserving & canceling tickets, adding flights, notifying users of changes, and updating reservation details.
Github Links
  • https://www.github.com/advanced-computer-lab/It-s-Not-A-Bug-It-s-A-Feature
Data Analytics Intern
Internship
Aug 2021 - Sep 2021
Vodafone Company
Technology Industry
Project: User Cohorting
  • Python
  • Data Analytics
  • SQL
  • I created a user profiling platform to help personalize offers for users using IBM DataStage.
  • I profiled more than 50 million users based on predefined key performance indicators using Python data analytics tools.
  • I classified users into cohorts with priorities based on daily revenue using SQL.
Qualifications
Education
German University in Cairo
Oct 2018 - Jul 2023
B.Sc. (Computer Science)
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