Malek Abbassi Email & Phone Number
Who is Malek Abbassi? Overview
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Malek Abbassi is listed as Machine Learning Engineer at agronoya, a with 69122 employees, based in Sousse, Tunisia. AeroLeads shows a matched LinkedIn profile for Malek Abbassi.
Malek Abbassi previously worked as C++ Developer at Upwork and Machine Learning Engineer at Nextav. Malek Abbassi holds Engineering Degree, Embedded System from École Nationale D'Ingénieurs De Sousse.
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About Malek Abbassi
⭐About MeI am a dedicated Embedded Systems Engineer with a strong foundation in Embedded Linux, C, C++, and System Design. My expertise extends beyond traditional embedded development, encompassing the integration of Artificial Intelligence (AI) and Machine Learning into embedded systems. With a passion for pushing the boundaries of technology, I have successfully led projects that merge AI with embedded applications, enabling systems to make real-time decisions, adapt to changing environments, and optimize performance.Throughout my career, I have worked on diverse projects, from developing intelligent systems for industrial automation to creating digital twins of industrial facilities. My hands-on experience with cutting-edge technologies such as NVIDIA Jetson Nano, NeRF, and DeepStream has equipped me with the skills to design and implement high-performance solutions in real-time environments.⭐Key Areas of Expertise:🔹Embedded Systems Development: Proficient in C/C++ and Embedded Linux, with a focus on real-time performance and reliability.🔹AI and Machine Learning in Embedded Systems: Skilled in integrating AI algorithms to enhance system functionality and autonomy.🔹System Design and Optimization: Expertise in designing and optimizing embedded systems for various industrial applications.🔹IoT and Firmware Development: Experienced in developing IoT solutions with real-time data transmission and analysis.⭐Achievements:🔹Led the digitalization of the Société Internationale de Sel Mare-Alb site, optimizing pump operations through predictive modeling and AI, resulting in increased salt production.🔹Developed an autonomous driving system using YOLO V4 and SLAM, achieving real-time obstacle detection and navigation on the NVIDIA Jetson Nano platform.🔹Created a connected energy meter ("ConnectWatt") with real-time data transmission, contributing to smarter energy management solutions.⭐Passion and Vision:I am driven by the challenge of developing innovative, efficient embedded solutions that bridge the gap between hardware and software. My goal is to continue advancing the field of embedded systems by leveraging AI and real-time data processing to create intelligent, adaptive technologies.⭐Let’s Connect:If you are looking for a proactive engineer who can bring advanced embedded solutions to life, feel free to connect with me. I’m always open to discussing new opportunities and collaborations that push the boundaries of what embedded systems can achieve.
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Malek Abbassi work experience
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C++ Developer
CurrentExperienced C++ Developer with a strong background in designing and optimizing high-performance applications. Proficient in advanced C++ techniques and object-oriented programming, I excel at solving complex problems and improving system efficiency. Skilled in debugging, testing, and using version control tools. Committed to delivering robust, scalable solutions that meet client needs. Ready to tackle your next project with precision and expertise.
Machine Learning Engineer
Project: Digitalization of the Société Internationale de Sel Mare-Alb SiteDescription:In this digitalization project, I played a central role in developing a comprehensive system to increase salt production at the Société Internationale de Sel Mare-Alb. The process began with designing a data collection system that included sensors to measure weather conditions, water salinity, and depth. These critical data were transmitted in real-time to Firebase, where they were cleaned and prepared for use in predictive models.I then developed advanced models using Facebook Prophet to forecast pump operation plans and the variations in water salinity and depth over a 15-day period. These predictions allow for optimal decision-making regarding pump engine operations, ultimately increasing salt production.Additionally, I integrated this data into an interactive dashboard developed with Haveay AI. This dashboard provides a clear and intuitive visualization of operations, enabling operators to monitor real-time conditions and adjust pump operations based on the forecasts.
Embedded Ai/Ml Software Engineer
As part of my apprenticeship, I engaged in the challenging and innovative project of developing an autonomous vehicle. My specific role was to design and implement a license plate detection system using cutting-edge technologies.Responsibilities and Achievements:*License Plate Detection: Developed an efficient and accurate system for detecting vehicle license plates. This involved leveraging computer vision techniques and machine learning algorithms optimized for real-time performance.*Jetson Nano Utilization: Utilized NVIDIA's Jetson Nano, a compact yet powerful platform, ideal for edge computing tasks. This involved configuring and programming the Jetson Nano to process live video feeds effectively.*DeepStream Technology: Implemented NVIDIA DeepStream, a framework designed for high-throughput and low-latency AI inference. This enabled the processing of streaming data from multiple sources, crucial for autonomous vehicle applications.*Integration and Testing: Ensured seamless integration of the license plate detection system with other components of the autonomous vehicle. Conducted thorough testing to validate the accuracy and reliability under various scenarios.*Collaboration: Worked in a multi-disciplinary team, contributing to the overall design and development of the autonomous vehicle, while focusing on AI/ML aspects.
Colleagues at agronoya
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Samuel Benson
Colleague at AgronoyaDenver Metropolitan Area, United States
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Nahid Hasan
Colleague at AgronoyaKhulna, Bangladesh
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Sachin Verma
Colleague at AgronoyaSolan, Himachal Pradesh, India
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Den Ralston
Colleague at AgronoyaNew York City Metropolitan Area, United States
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Brittany Posey
Colleague at AgronoyaCincinnati, Ohio, United States
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Mateja Miladinović
Colleague at AgronoyaSerbia
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Handy Hakim
Colleague at AgronoyaCentral Java, Indonesia
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Rimsha Malik
Colleague at AgronoyaLahore, Punjab, Pakistan
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Amjad Hossen
Colleague at AgronoyaChattogram, Bangladesh
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Judy Fark
Colleague at AgronoyaEvansville, Indiana, United States
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Malek Abbassi education
Engineering Degree, Embedded System
Bachelor'S Degree, Automatic And Industrial Computing
Frequently asked questions about Malek Abbassi
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What company does Malek Abbassi work for?
Malek Abbassi works for agronoya.
What is Malek Abbassi's role at agronoya?
Malek Abbassi is listed as Machine Learning Engineer at agronoya.
Where is Malek Abbassi based?
Malek Abbassi is based in Sousse, Tunisia while working with agronoya.
What companies has Malek Abbassi worked for?
Malek Abbassi has worked for Agronoya, Upwork, and Nextav.
Who are Malek Abbassi's colleagues at agronoya?
Malek Abbassi's colleagues at agronoya include Samuel Benson, Nahid Hasan, Sachin Verma, Den Ralston, and Brittany Posey.
How can I contact Malek Abbassi?
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What schools did Malek Abbassi attend?
Malek Abbassi holds Engineering Degree, Embedded System from École Nationale D'Ingénieurs De Sousse.
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