Navid Aghaebrahim

Navid Aghaebrahim has a diverse work experience spanning different roles and industries. Navid started their career as an Electrical Engineer at Iranian Smart Home, where they designed custom smart home solutions and conducted programming and configuration of smart home equipment. Navid then worked as an Electrical Engineer at an RF Antenna Company, where they oversaw the production process of RF antenna module boxes and PCBs and ensured the quality and reliability of each product.

In 2019, Navid joined Aquantia as a Test Engineer, responsible for ensuring the compliance of designs with quality standards and regulations, collaborating with cross-functional teams, and maintaining documentation. Navid then moved to Marvell Semiconductor as a Test Engineer, contributing to the successful certification and launch of new products through rigorous testing and validation.

Navid's experience continued at Apple, where they worked as a Test Engineer, testing and characterizing new iPhone and iWatch hardware, designing test plans, analyzing data, generating reports, and supporting facility laboratory management.

Currently, Navid is employed at Uniquify Inc as an AI Engineer, specializing in designing and training deep neural network architectures using frameworks such as TensorFlow, Chainer, and PyTorch. Navid collaborates with other engineers to research and develop AI solutions and has a strong focus on driving successful outcomes.

Overall, Navid Aghaebrahim has gained expertise in electrical engineering, testing, and AI, with a consistent track record of delivering high-quality work and driving successful outcomes.

Navid Aghaebrahim obtained a Bachelor's degree in Electrical and Electronics Engineering from Azad University (IAU) from 2012 to 2016. Navid then pursued a Master's degree in Computer Engineering at San Jose State University from 2021 to 2022. After that, they pursued another Master's degree in Artificial Intelligence at the University of San Diego from 2023 to 2024. Additionally, Navid has earned several certifications, including "Building Deep Learning Applications with Keras 2.0", "Building and Deploying Deep Learning Applications with TensorFlow", "Deep Learning: Face Recognition", "Deep Learning: Image Recognition", "Neural Networks and Convolutional Neural Networks Essential Training", "Verified International Academic Qualifications", "Convolutional Neural Networks", "Deep Learning Specialization", "Sequence Models", "Structuring Machine Learning Projects", "Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization", "Neural Networks and Deep Learning", "Machine Learning", "SQL for Data Science", "Excel Skills for Business: Essentials", and "Python 101 for Data Science". Navid also obtained the certification "ISO 26262" from SGS.