Alex Kameni

Machine Learning Engineer | Data Scientist | AI Researcher

Passionate about leveraging data science and machine learning to solve complex problems, I thrive at the intersection of innovation and practical implementation. With a strong academic foundation and hands-on industry experience, I specialize in developing scalable AI solutions—from self-supervised learning to NLP and computer vision. My collaborative mindset and dedication to continuous learning drive me to push boundaries in both research and real-world applications.

About Me

I hold a Master’s in Complex Systems Engineering (2022) from CY Cergy Paris University, specializing in Machine Learning and Data Science, where my research at ETIS Laboratory (ENSEA) focused on continual learning for self-supervised computer vision models. Prior to this, I earned an Engineering Degree in Computer Science from the Polytechnic School of Yaoundé, Cameroon, completing thesis projects on cutting-edge ML topics.

Currently, as a Data Scientist at Ivalua, I enhance AI-driven invoice processing by integrating domain-specific language models and multimodal AI (LayoutLM). My work has optimized data pipelines, improved model efficiency, and accelerated AI adoption across the organization.

Beyond my professional role, I actively contribute to open-source AI projects, with research and projects spanning natural language processing, computer vision, self-supervised and continual learning, AI agent workflows, and retrieval-augmented generation-showcasing my versatility and commitment to impactful technology.