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Mohamed Z - NextJS developerLD Talent logo

Mohamed Z

The star rating is a representation of the overall rating, calculated as the mean of the client satisfaction rating, the average client interview rating, and internal interview scores.

The client satisfaction rating is the weighted average of client ratings, with weights based on reviewed work hours. When no client rating exists, the approval fraction (approved vs. reviewed work hours) determines it.

If the client satisfaction rating exceeds the overall rating, it becomes the star rating. In the absence of client ratings, if the average client interview rating is higher than the overall rating, it becomes the star rating. If no data is available, the star rating defaults to the internal interview score.
Software Engineer Preferred Title
$20.00 /hr $ 2.0K /yr Hourly Rate and Yearly Salary
Overview Experiences Qualifications Vetting
Overview
Basic Summary
LD Talent History
  • Average Count of Messages/Day 0.2
  • Project Completion Rate 2/4
  • Interview Acceptance Rate 4/6
  • Timezone Overlap 35h PST, 70h UTC
Interview Scores (3.0/5)
  • Software Engineering Process 3.0/5
  • Design Practice 3.0/5
  • Design Theory 3.0/5
  • Technical Breadth 3.0/5
  • Logical Thinking 3.0/5
  • Technical Strength 3.0/5
  • System Design 3.0/5
  • Productivity and Responsiveness 3.0/5
  • Teamwork 3.0/5
  • Agile Development Process 3.0/5
  • Intellectual Merit 3.0/5
  • English Communication 3.0/5
  • Documentation 3.0/5
Talent's Devices
  • Desktop Mac・Linux
  • Phone Android
General
  • Member Since May 13, 2023
  • Profile Last Updated Mar 17, 2024
  • Last Activity April 8, 2025, 3:15 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: 4+ years
  • NextJS (3Y)

    3 years of experience
  • Redis (3Y)

    3 years of experience
  • AWS Elasticsearch (3Y)

    3 years of experience
  • Go (4Y)

    4 years of experience
  • MariaDB (3Y, 1C)

    3 years of experience, with 1 course
  • Rabbit MQ (3Y)

    3 years of experience
  • Typescript (3Y)

    3 years of experience
  • React (2E, 3Y)

    2 experiences, across 3 years
  • ExpressJS (2Y)

    2 years of experience
  • Azure (2Y)

    2 years of experience
  • Nodejs (2Y)

    2 years of experience
  • MongoDB (2Y)

    2 years of experience
  • Tensorflow (2Y)

    2 years of experience
  • Python (2E, 2Y)

    2 experiences, across 2 years
  • Data visualization (2Y)

    2 years of experience
  • Machine learning (2Y)

    2 years of experience
  • Data mining (2Y)

    2 years of experience
  • Deep learning (2Y)

    2 years of experience
  • NoSQL (1C)

    1 course
  • SQL (1C)

    1 course
  • MySQL (1C)

    1 course
  • C (2C)

    2 courses
  • C++ (2C)

    2 courses
Weekly Availability
Timezone Overlap with 06 - 21 per Week: 35h PST, 70h UTC
Day
Sunday
Monday
Tuesday
Wednesday
Thursday
Friday
Saturday
UTC
08 - 18
08 - 18
08 - 18
08 - 18
08 - 18
08 - 18
08 - 18
PST
01 - 11
01 - 11
01 - 11
01 - 11
01 - 11
01 - 11
01 - 11
Vetting
  • Interview Data
  • Software Engineering Process
  • Design Practice
  • Design Theory
  • Technical Breadth
  • Logical Thinking
  • Technical Strength
  • System Design
  • Productivity and Responsiveness
  • Teamwork
  • Agile Development Process
  • Intellectual Merit
  • English Communication
  • Documentation
  • Code Quality
  • Controllers
  • Templates
  • APIs
  • Training/Testing Data Models
Experience
Full Stack Developer
Employment
Sep 2022 - Present
Abqara Company
Arts and Entertainment Industry
Project: Sofa
  • Typescript
  • AWS Elasticsearch
  • Rabbit MQ
  • Go
  • NextJS
  • Redis
  • MariaDB
  • 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
  • Data visualization
  • Machine learning
  • Data mining
  • Tensorflow
  • Python
  • Deep learning
  • 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
  • React
  • Python
  • 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
  • MongoDB
  • Nodejs
  • ExpressJS
  • React
  • Azure
  • 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
  • MariaDB
  • NoSQL
  • SQL
  • MySQL
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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