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: 5 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

PST

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