Embedl
Axel Jarenfors is a seasoned professional in data science and deep learning, currently serving as a Deep Learning Engineer at Embedl since July 2023. Prior experience includes a role as Senior Data Science & Algorithm Developer at Syntronic from February 2022 to June 2023, and a significant tenure at Volvo Cars, where Axel Jarenfors contributed as a Platform Developer and a Data Analysis & Control Engineer from October 2016 to January 2022. Axel Jarenfors also worked as a Konsult at Cybercom and held various positions in the Chalmers Student Union, including Vice President and Treasurer. Axel Jarenfors began a career at Volvo 3P, fulfilling multiple roles, including Programmer and Logistics Assistant, while also holding a degree in Engineering Mathematics and Computational Science from Chalmers University of Technology.
Embedl
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Embedl offers a diverse set of cutting-edge tools and expertise, empowering AI teams to craft incredibly efficient Deep Learning models. Embedl aims to revolutionize the world of embedded systems by commercializing its state-of-the-art Deep Learning Model Optimization SDK. With Up to 94% reduced energy consumption, 16x increased execution speed, and 8x memory model compression, the SDK enables users to develop market-leading solutions by designing energy-efficient deep learning models that meet real-time requirements in cost-efficient hardware. Through the innovative Model Optimization SDK, the process of generating superior models becomes streamlined and automated. Embedl is committed to innovation and excellence, is deeply connected to academic research, and actively collaborates with prominent industry players. These valuable collaborations nurture a thriving innovation ecosystem, empowering Embedl to constantly push the limits of what's achievable in embedded intelligence.