Miguel Verdu
About Miguel Verdu
Miguel Verdu is a Machine Learning Engineer with extensive experience in software engineering and a focus on camera-related applications. He has worked at notable companies such as STMicroelectronics, Intel, Nokia, and currently Scandit in Finland.
Work at Scandit
Miguel Verdu has been employed at Scandit as a Machine Learning Engineer since 2019. He works in the Tampere Area, Finland, where he focuses on developing deep learning models for camera-related applications. His role involves integrating camera control algorithms and contributing to advancements in machine learning technologies that enhance Scandit's product offerings.
Previous Experience in Software Engineering
Prior to his current position, Miguel Verdu held several roles in software engineering. He worked at STMicroelectronics as a Software Engineer in embedded systems for one year from 2000 to 2001. He then joined Nokia, where he spent ten years from 2001 to 2011. Following his time at Nokia, he served as a Senior Software Engineer at Intel from 2011 to 2019, accumulating a total of eight years of experience in that role.
Education and Expertise
Miguel Verdu studied Telecommunication Engineering at Universitat Politècnica de València (UPV), where he completed his Master's degree from 1993 to 1999. His educational background provides a strong foundation for his expertise in integrating hardware accelerated video codecs using multimedia frameworks such as OpenMAX, GStreamer, and Android Stagefright.
Contributions to Camera Technology
Miguel Verdu has made significant contributions to the development of camera technologies. He has worked on integrating camera control algorithms and contributed to the creation of camera Hardware Abstraction Layer (HAL) software. His work spans multiple operating systems and various generations of Image Signal Processors (ISP), showcasing his technical skills in the field.