Amine Laariane

About Me

Hi, I'm Amine Laariane, a dynamic Fullstack Engineer from Rabat, Morocco. With a knack for both frontend and backend development, I excel in Vue.js and Node.js, bringing innovative solutions to life. At Cegedim, I enhance HR software by building new features and securing APIs.

Previously, I resolved complex issues and supported clients at SQLI, working with top technologies like Angular, and React.js. My journey began with impactful internships, including using machine learning for pediatric oncology predictions and developing web applications with Laravel.

I'm skilled in Node.js, JavaScript, PHP, Vue.js, SQL, MongoDB, Angular, and Nest.js, and fluent in English, French, and Arabic. Passionate about tech, I'm always ready for new challenges. Connect with me on LinkedIn or email me at laarianeamine@gmail.com. Let's innovate together!

Projects

Payroll management & Billing Functions for HR Software

Company: CEGEDIM SRH, Rabat

Duration: February 2023 — Present

Overview: Developed new billing functions for MyTeamsRH, an HR software, to adapt to new business policies.

Skills Used: Node.js, Express.js, MongoDB, Vue3, Vue Router, Pinia, Vuex

Role: Fullstack Engineer

Contributions:

Designed and implemented new billing functions to align with updated business policies.
Upgraded the payroll management system from Node 4 to Node 18 LTS, enhancing performance and security.
Secured the API of the payroll management product by addressing security vulnerabilities.
Participated in all stages of the project lifecycle, including solution submission, cost estimation, development, and deployment.

Impact:

Improved software adaptability to new business policies, resulting in enhanced user satisfaction.
Increased system security and stability, reducing the risk of vulnerabilities and downtime.

Machine Learning for Pediatric Oncology

Institution: National Pediatric Oncology and Hematology Hospital, Rabat

Duration: March 2021 — September 2021

Overview: Applied machine learning to predict diagnoses and relapse of acute lymphoblastic leukemia.

Skills Used: Python, Scikit-learn, Data Analytics, Machine Learning, Data Visualization, Data Mining

Role: Data Science Intern

Contributions:

Developed and validated three different machine learning models to predict diagnosis and relapse.
Created an application using Streamlit to deploy the machine learning models for real-time predictions.

Impact:

Provided valuable insights into prognostic factors for pediatric oncology, aiding in better diagnosis and treatment planning.
Developed a tool for healthcare professionals to make data-driven decisions, potentially improving patient outcomes.

Web Application for Resume Generation

Company: Avalience, Rabat

Duration: July 2019 — September 2019

Overview: Developed a web application to generate complete resumes for company developers using the Laravel framework.

Skills Used: PHP, Laravel, HTML5, CSS, JavaScript

Role: Software Engineer Intern

Contributions:

Designed and implemented a web application that automates resume generation for developers.
Ensured the application was user-friendly and met the company's requirements for client presentations.

Impact:

Streamlined the process of creating professional resumes, saving time and effort for developers.
Enhanced the company's ability to present well-crafted resumes to clients, improving business prospects.