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

08 - 22

PST

05 - 15

21 - 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

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