Waleed Sabouni is now available for hire

Waleed Sabouni

81% Skill Score

JavaScript Developer

I am a highly skilled Machine Learning Engineer with a passion for building intuitive and user-friendly web applications. I have 4+ years of experience working with a variety of front-end and back-end technologies, including React, Angular, Node.js, and Express. I am comfortable working in agile development environments and have a track record of delivering high-quality code that meets project requirements and deadlines. In my current role, I have had the opportunity to work on a variety of projects, ranging from simple websites to complex web applications. I am always eager to learn new technologies and stay up-to-date on the latest best practices in the field.

Hire Waleed Sabouni

Profile Detail

Expertise

JavaScript engineer Checked

English Level

Conversational Checked

Years of Experience

4+ years

JavaScript

Java

Python

SQL

HTML

CSS

Tech Stack

Employment history

Machine Learning Engineer

March 2020 - present

Worked on a team to develop and maintain a variety of web applications using JavaScript and related technologies, Utilized agile development methodologies to plan, design, and implement new features, Collaborated with designers and product managers to deliver high-quality user experiences, Worked with a variety of technologies, including React, Angular, Node.js, and Express, Participated in code reviews and followed best practices for coding standards.

Junior Machine Learning Engineer

April 2019 - December 2019

Worked on a team to develop and maintain web applications using JavaScript and related technologies, Utilized agile development methodologies to plan, design, and implement new features, Collaborated with designers and product managers to deliver high-quality user experiences, Worked with a variety of technologies, including React, Angular, and Node.js, Participated in code reviews and followed best practices for coding standards, Mentored junior developers on best practices for web development.

Machine Learning Engineer Intern

October 2018 - January 2019

Assisted senior developers in the development and maintenance of web applications using JavaScript and related technologies, Collaborated with designers to create intuitive and user-friendly interfaces, Assisted with debugging and troubleshooting issues during the testing phase, Participated in team meetings and provided feedback on app design and development process..

Full-Stack Intern

November 2018 - February 2019

Assisted senior developers with the development of multiple web applications, Participated in code reviews and assisted with the testing and debugging of applications, Contributed to the development of technical documentation, Gained practical experience working in a professional software development environment.

Education

Tribhuwan University

BS Computer Science and Information Technology

- July 2019

Certification

Vimens Skill Test

Verified by Vimens

January 2023

IBM: Introduction to Web Development with HTML5, CSS3, and JavaScript

Edx

January 2020

Skill Score

JavaScript

JavaScript

Overall • 84%

React

Overall • 80%

Angular

Overall • 79%

NodeJs

Overall • 81%

HTML/CSS

Overall • 83%

Feedbacks

HR Screening Feedback

The candidate has a strong resume and demonstrated good communication skills during the interview. They were able to articulate their experience and qualifications clearly, and they seemed like a team player.

Overall • 85%

Technical Middle Tier Feedback

The candidate showed a good understanding of JavaScript and related technologies during the technical portion of the interview. They were able to clearly explain their approach to solving coding challenges and provided relevant examples from their past experience.

Overall • 82%

Technical Final Feedback

The candidate demonstrated advanced knowledge of JavaScript and related technologies during the technical portion of the interview. They were able to confidently answer difficult questions and provided in-depth explanations of their solutions.

Overall • 85%

Cultural Check

The candidate was friendly and easy to talk to and seemed optimistic and genuinely interested in working in the field.

Overall • 92%