Experience

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  Yep'tech mons

  Sept 2015 - Aug 2017

  Corporate secretary

  ▼ Overview:As the Corporate Secretary for YEP'Tech Mons, a student-led company at university, I was central to our team's communication, organization, and compliance efforts. My role involved managing documents, coordinating meetings, and supporting our projects, contributing significantly to our operational efficiency.▼ Key Contributions:• Efficient Communication: Improved team and stakeholder communication, ensuring everyone stayed informed and engaged.• Meeting Management: Streamlined the planning and execution of board meetings, resulting in more effective decision-making.• Document Handling: Enhanced document organization and accessibility, maintaining compliance with legal standards.• Event Coordination: Assisted in the successful organization of key events, boosting our company’s visibility and impact. Show less

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  Creaceed

  Jul 2017 - Sept 2017

  Internship

  ▼ Overview:During my Master's second year summer, I embarked on an enriching journey as an AI/ML Intern at Creaceed, a dynamic startup known for developing cutting-edge iPhone applications. Motivated by a keen interest in artificial intelligence and machine learning, I sought to dive deep into these fields, particularly focusing on image processing technologies.▼ Key Contributions:• Research and Development: Led a pioneering research project to explore the feasibility and effectiveness of neural networks for image restoration, comparing these modern approaches against traditional methods.• Neural Network Design: Designed and tested various neural network models, evaluating their performance in image super-resolution and denoising tasks, utilizing Python and Keras.• Exploratory Analysis: Conducted comprehensive analyses to assess the potential of NNs in enhancing image quality, contributing valuable insights into their applicability within mobile applications.• Knowledge Sharing: Presented findings to the development team, highlighting the advantages and challenges of implementing NNs, sparking interest in further exploration of AI technologies. Show less

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  Creaceed

  Feb 2018 - May 2018

  Master thesis

  ▼ Overview:Building on the foundational AI research initiated during my summer internship, my master’s thesis at Creaceed aimed to deepen our understanding of neural network applications within mobile environments. Focused on innovative compression techniques, the project’s goal was to develop a practical solution for implementing advanced image processing algorithms directly within an iPhone application, balancing performance with the device’s computational constraints.▼ Key Contributions:• Research and Development: Conducted comprehensive research on state-of-the-art image compression techniques suitable for mobile platforms, focusing on optimizing neural network models for real-world application in iPhone apps.• Algorithm Implementation: Developed and tested various compression algorithms to minimize model size and computation requirements without compromising the quality of image processing results.• Collaboration and Integration: Worked closely with the development team to integrate the optimized neural network into an existing iPhone application, ensuring seamless functionality and user experience.• Performance Analysis: Rigorously analyzed the performance of the implemented solution, assessing its efficiency, effectiveness, and user impact within the application. Show less

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  Amd

  Jan 2022 - Aug 2022

  Phd intern

  ▼ Overview: During my internship at AMD, I worked on refining the neural network algorithms used for super resolution and image enhancement within the FSR3 rendering engine. Leveraging my foundational work with the FasterAI library, which focuses on neural network compression, I was tasked with exploring innovative compression techniques to streamline and accelerate AMD's image rendering processes, making them not only faster but also significantly more resource-efficient.▼ Key Contributions:• Innovative Compression Exploration: Led efforts to investigate and apply cutting-edge neural network compression techniques, aiming to optimize the performance of super resolution and image enhancement tasks in AMD's rendering engine.• Efficiency Enhancements: Developed methods to reduce the computational load and memory requirements of neural network models without sacrificing the quality of image rendering, contributing to a more efficient rendering process.• Collaborative Development: Engaged closely with the FSR3 development team, offering insights and strategies for integrating compressed neural networks into AMD's rendering pipeline, fostering a seamless blend of AI innovation and graphic rendering expertise. Show less

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  Isia lab - umons

  Jan 2023 - now

  Postdoctoral researcher

  ▼ Overview:Following a successful proposal, I've been granted the prestigious WIN4SO fund, embarking on a two-year journey to bring my vision to life. At the heart of this venture is the mission to democratize neural network compression technology, making AI more accessible and sustainable for smaller enterprises. This initiative not only aligns with my deep-rooted passion for AI and machine learning but also represents a step forward in addressing the urgent need for more ecological AI solutions.▼ Key Responsibilities: • Innovate in AI Compression: Develop cutting-edge techniques in neural network compression that minimize resource usage and energy consumption, making AI models lighter and faster.• Empower SMEs: Create user-friendly tools and platforms that enable SMEs to easily adopt and benefit from compressed AI technologies without requiring extensive AI expertise.• Promote Ecological AI: Advocate for and implement sustainable practices within the AI industry, contributing to the development of eco-friendly technology solutions. Show less