Azal Azalea Alothmani
About Azal Azalea Alothmani
Azal Azalea Alothmani is an Electronics Engineer with a strong academic background in machine learning and nanoscience. Currently employed at Axis Communications, she integrates her hardware and software expertise to advance in robotics and analytics.
Work at Axis Communications
Azal Azalea Alothmani has been employed at Axis Communications as an Electronics Engineer since 2018. In this role, she focuses on integrating hardware and software to enhance product performance. Her work involves expertise in digital integrated circuits and processor design, with a particular emphasis on simulation, analysis, and verification. This position allows her to apply her engineering knowledge in a practical setting, contributing to the development of advanced technologies.
Education and Expertise
Azal Azalea Alothmani has a strong educational background in engineering. She studied at Lunds universitet, where she completed a Master's Programme in Machine Learning, Systems and Control from 2021 to 2023. Prior to that, she earned a degree in Engineering Nanoscience from Lunds tekniska högskola, studying from 2013 to 2018. Her education has equipped her with skills in deploying machine learning models and expertise in 3D modeling, simulation, and characterization.
Background in Electronics Engineering
Azal Azalea Alothmani has been involved in electronics engineering for several years. She began her studies at Polhemskolan, where she attended from 2010 to 2013. Following her secondary education, she pursued higher education in nanoscience and machine learning, which laid the foundation for her current career. Her background reflects a commitment to advancing her knowledge and skills in the field of electronics and engineering.
Skills in Machine Learning and Simulation
Azal Azalea Alothmani possesses a range of skills relevant to her field. She is experienced in deploying machine learning models using various environments, including Jupyter Notebook, Visual Studio Code, Linux Shell, and Jira Confluence. Her expertise extends to digital integrated circuits and processor design, where she focuses on simulation, analysis, and verification. These skills support her aim to integrate hardware and software in robotics, machine learning, algorithms, and analytics.