Saybari Hamza

I'm Software Engineer

About

With a Master’s degree in Data Science and Intelligent Systems from the Faculté des Sciences et Techniques de Fés, I am dedicated to pushing the boundaries of software engineering at Powergo. My focus lies in integrating generative AI within robust development frameworks, merging academic insights with practical applications.


I bring a strong foundation in data analysis and machine learning to my work, crafting intelligent, scalable solutions. By leveraging Azure DevOps Services, I streamline processes, ensuring each project delivers tangible benefits to technology users while advancing my expertise in the ever-evolving tech landscape.

Full Stack Developer & AI Engineer.

  • Birthday: 09 January 2001
  • Linkedin profile : Hamza Saybari
  • Phone: +212 655 755 101
  • City: Casablanca, Morocco
  • Age: 23
  • Degree: Master
  • Email: saybarih@gmail.com
  • Freelance: Available

I thrive on challenges and am always eager to push my boundaries. With a creative and agile mindset, I love diving into new experiences and continuously expanding my skill set. My curiosity drives me to explore different fields, ensuring that I stay adaptable and versatile in any team environment. Through various trainings and hands-on experiences, I've developed the ability to quickly integrate into new roles and contribute effectively. My goal is to constantly grow and evolve, bringing fresh perspectives and 100% commitment to every project I undertake.

Master's degree

1 Year Experience

AI generative & Full stack development

Arabic, English & French

Skills by stack

Throughout my career, I’ve worked on several projects using a variety of technology stacks. Below is a breakdown of the key tools, languages, and frameworks I’ve leveraged to build efficient and scalable solutions.

NestJS, Mongoose, & ODM 100%
Java, SpringBoot, SpringCloud, SpringSecurity, JPA Hibernate 60%
Microservices, NGINX proxy, Event driven architecture (Kafka ,RabbitMQ) 80%
JavaScript, Typescript, React, HTML, CSS & TailwindCSS 100%
Mysql, MongoDB 90%
LLMs, Fine Tuning, Langchain, OpenAI API & Azure OpenAI 80%
Python, FastAPI 80%
Git & Github, Docker, Azure DevOps 70%
RestAPI, GraphQL 90%
Agile Methodology 100%

Resume

Very independent and motivated to join a dynamic team to contribute to the production of innovative solutions. Through the trainings and projects I have undertaken and completed, I have acquired solid skills in software engineering and AI, as well as in problem-solving and teamwork. I am deeply passionate about this field and capable of quickly integrating into a team environment to advance my professional career

Sumary

Saybari Hamza

Innovative and deadline-driven Software and AI Engineer with a first experience designing and developing custom web applications intelligent APIs. Always looking for new challenges.

  • Casablanca, Morocco
  • (212) 655-755-101
  • saybarih@gmail.com

Education

Master of Data Science & Intelligent Systems

2022 - 2024

Faculty of Science and Technology of Fez

During this time, I have acquired solid skills in software engineering and AI such as designing and developing custom web applications, data science, machine learning ,Big data, and artificial intelligence

Bachelor of Computer Science

2019 - 2022

Faculty of Science and Technology of Fez

During this formation, I have acquired solid skills in software engineering such as designing and developing custom web applications, development languages, problem solving, algorithms, and data structures.

Professional Experience

Junior Software & AI Engineer

February 2024 - Present

PowerGO, Casablanca, Morocco

  • Design and develop intelligent APIs for web applications using LLMS, Fine Tuning Techniques, prompt engineering, python, OpenAI, Azure OpenAI, langchain and FastAPI
  • Adopting and implementing Microservice Architecture with an asynchronous and Event driven architecture
  • Design and develop Backend Servers using Node.js and NestJs Framework, typescript, MongoDB.
  • Design and develop and deploy web mobile FrontEnd applications using React.js with vite, typescript, and tailwindcss.

java Full stack Developer

April 2022 - July 2022

DXC Technology, Rabat, Morocco

  • Design Backend server using UML modeling language
  • Devlop and deploy backend server using java and spring boot, spring security, JPA Hibernate and mysql
  • Develop Frontend using Angular, typescript, and html css

Project

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  • All
  • AI & Computer Vision
  • Software Engineering

Real-time person detection and face identification

In this project, I collected facial data of six actors from various scenes in a TV show. Using YOLO (You Only Look Once) to detect the person, I then extracted the face from the detected region. Finally, I identified the actors using a Convolutional Neural Network (CNN) model for face recognition.

Facial-Based Age and Gender Detection

This project involved collecting and cleaning a dataset of over 25,000 facial images. We conducted experiments with different models to achieve optimal results for facial analysis tasks such as age and gender detection. Finally, we successfully implemented the chosen model into a web application for practical usage.

Healthcare stroke causes analysis

In this project, I used association rule mining to analyze healthcare data and identify patterns linked to stroke risk factors. By applying the Apriori algorithm, I uncovered relationships between health conditions and lifestyle choices.

Image Processing using Computer Vision Techniques

In this project, I applied various computer vision techniques for image processing tasks. By leveraging algorithms such as Gaussian filters for smoothing and median filters for noise reduction, I enhanced image quality and clarity. These techniques were essential for improving the accuracy of subsequent image analysis steps.

Heart Disease analysis

In this project, I analyzed a dataset related to heart disease using Apache Spark for efficient data processing and analysis. The project involved cleaning and preprocessing the data, followed by exploratory data analysis to uncover key trends and insights. I utilized Spark's machine learning library (MLlib) to build and train a predictive model that identifies the likelihood of heart disease based on various health indicators.

Human Ressources Management App

In this project, I developed a generic Human Resources Management application using Java and Spring Boot. The app allows for managing employee data, attendance and leave requests. Spring Boot was used to build a scalable, RESTful backend, enabling smooth handling of HR operations and providing secure user authentication and role-based access.

Tourists Guide web site

In this project, I developed a dynamic Tourists Guide website using PHP for backend functionality, along with HTML, CSS, and JavaScript for the front-end. The site allows users to explore popular tourist destinations, view details, and get recommendations.

Contact

I am always looking for new opportunities. If you have any questions or would like to work together, please don’t hesitate to contact me

Address

Sidi maarouf Casablanca, Morocco

Call Me

+212 655-755-101

Email Me

saybarih@gmail

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