Embedded Systems & IoT Mobile Developer

personal Qualities

Tunisia

Arabic langue maternelle

Oussama HAMMAMI

C O M P U T E R E N G I N E E R E M B E D D E D

S Y S T E M S A N D M O B I L E D E V E L O P M E N T Personal Informations

Technical Skills

Languages

Phone

Email

+216-**-***-***

***********@*****.***

English B2

French B2

Programming Languages:

Java, Python, C/C++, JavaScript, Nodejs, ReactJS, android

Embedded Systems:

Protocols:OPC UA, M2M, RTOS,MQTT, I2C, UART, SPI.

Boards&Microcontrollers: Raspberry Pi,Arduino,

STM32.

Frameworks : .Net, Springboot,

Tools :

Deployment: Docker, Kubernetes, Jenkins.

Monitoring: Prometheus, Grafana, Nexus.

Modeling: ISIS, Linux, UML.

Databases:

MySQL, PostgreSQL

Developed and integrated a fingerprint management module for the company’s web application.

VIORE Digital, Nabeul June-August2022

ICT Engineer specializing in embedded systems and mobile development. Passionate about innovation, I am motivated, creative and eager for new challenges.

Leader

Multilingual

Interpersonal skills

Stress resilience

Time management

https://www.linkedin.com/in/hammami-oussama-07abbb200/ ELECTROGEL Company,Tunis July-September2023

Developed an IoT system for smart energy management. Built a mobile application using Android Studio and Node.js. Ecole Supérieur Privée d'Ingénierie et de Technologies of Tunisia(ESPRIT) 2024 Preparatory Institute for Engineering Studies, Nabeul (IPEIN) 2021 High School Diploma in Technical Studies (Honors) : Lycée Mahmoud Messaadi, Nabeul 2019

Influence Consulting, Tunis January -June 2024

Developed a web application (React.js and Spring Boot) for collecting customer feedback.

Integrated AI-based analytics and designed a rewards system. German A1

Facial Recognition System

Developed a high-accuracy person detection and identification system using facial recognition on an embedded system with Raspberry Pi 4, Python, OpenCV, and Deep Learning.

Intelligent Supervision System

Created an IoT application "Smart Watch" to display temperature, measure heart rate, and count steps using STM32F401VE.

Implemented real-time data visualization and collection with ESP32, Raspberry Pi, MQTT, and MySQL.

Smart Esprit Desktop Application

Designed and developed a full-stack web solution for university management and distance learning.

Features include managing stakeholders (students, teachers, administration), sharing educational resources, evaluation systems, and discussion forums.

Applications of AI for Anomaly Detection (NVIDIA novembre 10, 2023) Applications of AI for Predictive Maintenance (NVIDIA novembre 28, 2023) Date of Birth : 20/12/2000

Entrepreneurship

Photography/videography

Team Sports (Football-BasketBall-Padel-VolleyBall) Former member of the Rotaract Club (Tuni-act)

Hammami Oussama

Beta Industrie Since 05 Aout 2024

Deputy Industrial Manager, responsible for controlling automation and maintenance processes. Manufacturing optimization, integration of connected systems, and management of automatic door installations and accessories, with data monitoring for effective preventive maintenance.Integrated AI-based analytics and designed a rewards system.

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