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Mohamed Z - React developerLD Talent logo

Mohamed Z

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 but do not influence their star rating, though they do influence their position in the search results.
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 0.4
  • Project Completion Rate 2/4
  • Interview Acceptance Rate 4/6
  • Timezone Overlap 54h PST, 78h 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 (3.0/5)
  • Software Engineering Process 3.0/5
  • Technical Breadth 3.0/5
  • Algorithmic Thinking 3.0/5
  • Technical Strength 3.0/5
  • Teamwork 3.0/5
  • Intellectual Merit 3.0/5
  • English Communication 3.0/5
Talent's Devices
  • Desktop Linux
  • Phone Android
General
  • Member Since May 13, 2023
  • Profile Last Updated May 19, 2023
  • Last Activity June 3, 2023, 4:02 p.m. UTC
  • Location Algeria
  • Current Status Student
Profile Summary
As a highly skilled Software Engineer, I am excited to offer my expertise in software development to your company. With my experience in the field, I have honed my skills in building robust, scalable, and secure web applications that deliver exceptional user experiences. My proficiency in a variety of programming languages, frameworks, and technologies, allows me to develop and deploy custom solutions that meet specific business needs in a deadline-driven environment.
Skills
Total Experience: 2+ years
  • React (2E, 2Y)

    2 experiences, across 2 years
  • MongoDB (1E, 2Y)

    1 experience, across 2 years
  • ExpressJS (1E, 2Y)

    1 experience, across 2 years
  • Azure (1E, 2Y)

    1 experience, across 2 years
  • Nodejs (1E, 2Y)

    1 experience, across 2 years
  • Deep learning (1E, 1Y)

    1 experience, 1 year
  • Data mining (1E, 1Y)

    1 experience, 1 year
  • Machine learning (1E, 1Y)

    1 experience, 1 year
  • Data visualization (1E, 1Y)

    1 experience, 1 year
  • Python (2E, 1Y)

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

    1 experience, 1 year
  • Rabbit MQ (1E, 1Y)

    1 experience, 1 year
  • Typescript (1E, 1Y)

    1 experience, 1 year
  • Go (1E, 1Y)

    1 experience, 1 year
  • AWS Elasticsearch (1E, 1Y)

    1 experience, 1 year
  • Redis (1E, 1Y)

    1 experience, 1 year
  • NextJS (1E, 1Y)

    1 experience, 1 year
Weekly Availability
Timezone Overlap with 06 - 21 per Week: 54h PST, 78h UTC
Day
Sunday
Monday
Tuesday
Thursday
Friday
Saturday
UTC
12 - 22
04 - 22
04 - 22
08 - 22
08 - 22
08 - 22
PST
05 - 15
21 - 15
21 - 15
01 - 15
01 - 15
01 - 15
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
Full Stack Developer
Employment
Sep 2022 - Present
Abqara Company
Arts and Entertainment Industry
Project: Sofa
  • NextJS
  • Go
  • Typescript
  • AWS Elasticsearch
  • MariaDB
  • Redis
  • Rabbit MQ
  • I used NextJS with Typescript to build the UI for both end-users and admins, and NestJS to build the backend. This has reduced the debugging time by 50%.
  • I used Go to create the backend, which helped lower the cost of hosting and increased the speed of the application. Additionally, I used MariaDB as the database.
  • I used Rabbit MQ alongside Nest.js and Golang to create a message queue for communication between microservices, which helped scale the application. This led to a 45% decrease in response time.
  • I created a monitoring system with AWS Elasticsearch and implemented caching with Redis. These additions have helped with debugging and error detection.
Student
Course Project
Mar 2022 - Jun 2023
University Of Science And Technology Houari Boumediene Company
Education Industry
Project: Recommendation System With Sentiment Analysis
  • Deep learning
  • Data mining
  • Machine learning
  • Python
  • Data visualization
  • I published a research paper about the implementation of my new proposed approach.
  • I used high-performance and complex models such as autoencoders to create a recommendation system. Additionally, I utilized LSTM with Word2Vec to develop a sentiment analysis tool.
  • I used TensorFlow to create a Machine learning and Deep learning models.
  • I used Python for Data visualization and Data mining.
Software Engineer
Course Project
Sep 2022 - Jan 2023
University Of Science And Technology Houari Boumedien Company
Arts and Entertainment Industry
Project: Mancala Game
  • Python
  • React
  • I used heuristics such as MinMax and Neg*Max to develop a bot for playing against.
  • I used React to code the UI and Python to create the back-end and the bot algorithm.
Full Stack Developer
Contract
Jan 2021 - Aug 2022
Kimberslite Company
Ecommerce Industry
Project: Web Developer
  • Nodejs
  • ExpressJS
  • Azure
  • React
  • MongoDB
  • I created e-commerce platforms for local businesses, with over 1,000 users on their respective platforms.
  • I used Nodejs with ExpressJS and React with NextJS, along with MongoDB, to build the entire web application. This approach helped us deliver the product within a short time frame.
  • I used UML diagrams to communicate with clients and explain the system design.
  • I used Azure services to host clients' applications based on their budgets and needs. This approach resulted in satisfied clients.
Qualifications
Education
University Of Science And Technology Houari Boumedien
Sep 2022 - Jul 2024
Masters' Degree (Computer Vision)
University Of Science And Technology Houari Boumedien
Sep 2019 - Jul 2022
B.S (Information Systems and Software Engineering)
Courses
Databases
Apr 2021 - Jan 2023
University Of Science And Technology Houari Boumedien
  • MySQL
  • MariaDB
  • NoSQL
  • SQL
Parallel Programing
Apr 2022 - Jan 2023
University Of Science And Technology Houari Boumedien
  • C
  • C++
Advanced Algorithms and Data Structure
Sep 2019 - Mar 2021
University Of Science And Technology Houari Boumedien
  • C
  • C++
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