Navid Aghaebrahim Email & Phone Number

San Jose, Ca, Us

Santa Clara, California, United States

Researched, developed, and trained advanced computer vision algorithms, resulting in a 5% increase in accuracy. Additionally, implemented custom convolutional layers tailored to specific tasks, which boosted accuracy by an additional 10%.Developed deep neural network and Natural Language Processing (NLP) models for sentiment analysis and content summarization, specifically applied to video inputs, enhancing media analytics capabilities.Developed and optimized AI frameworks to enhance deep learning and computer vision model performance, utilizing GPU/CUDA acceleration, C++, and distributed computing techniques, significantly improving computational efficiency.Implemented and managed robust data pipelines for efficient data processing, transformation, and integration, leveraging multi-threading and parallelization to optimize workflow.Utilized CI/CD pipelines and Git for version control and source management during software development cycles, integrating extensive regression and unit testing to ensure code reliability.Scaled existing datasets using generative and diffusion models to enhance data quality, improving the annotation system efficiency by 30%, which led to more accurate machine learning models.Led and managed a team focused on researching, improving, and implementing real-time object detection, classification, segmentation, and feature extraction tasks, delivering cutting-edge solutions for complex visual recognition problems.Skills: C++ · Artificial Intelligence (AI) · Linux · Python (Programming Language) · Natural Language Processing (NLP) · Oral Communication · Recurrent Neural Networks (RNN) · git · Gitlab · Computer Vision · Deep Learning · Convolutional Neural Networks (CNN) · Machine Learning · CUDA · High Performance Computing (HPC) · Knowledge Sharing · Algorithm Design

Sunnyvale, California, United States

Conducted comprehensive testing, triaging, and characterization for Apple's iPhone, Apple Watch, and AirPods Max hardware, identifying and documenting critical performance metrics.Designed and executed detailed test plans, performed advanced data analysis using Python, and generated comprehensive reports to communicate findings, enhancing decision-making processes.Facilitated the setup and optimization of test stations for various hardware modules, ensuring all configurations met rigorous technical specifications, which improved testing efficiency by 25%.Coordinated the auditing and calibration of camera test stations, enhancing camera performance and precision in visual data capture through meticulous adjustments and validations.Performed extensive data analysis and failure analysis, and conducted Gauge Repeatability and Reproducibility (GR&R) studies, quantifying testing accuracy and reliability improvements by 30%..Skills: Linux · Python (Programming Language) · Oral Communication · Electrical Engineering · Test Plan Design · Knowledge Sharing · Test Automation/Scripting · Technical Troubleshooting

Santa Clara, California

Conducted in-depth data analysis to ensure design compliance with stringent quality standards and regulatory requirements, significantly contributing to the successful launch of new products.Collaborated with cross-functional teams to rigorously test and validate design changes, enhancing product reliability and performance.Authored efficient Python and SQL scripts for advanced data analysis and information retrieval, streamlining the process of generating existing data reports and analytics.Developed an automated program for generating daily System Level Test (SLT) reports, reducing the process time by 3-4 hours daily and boosting team productivity by 40%.Performed characterization and failure analysis by analyzing database and log files, optimizing data handling and analysis procedures to enhance operational efficiency.Led initiatives to optimize Automated Test Equipment (ATE) data and analyze business requirements, achieving a 20% reduction in test time and a 15% decrease in operational costs.Skills: Linux · Python (Programming Language) · Data Visualization · Oral Communication · SQL · SQLite · Electrical Engineering · Data Analysis · Knowledge Sharing

San Jose, California

Conducted in-depth data analysis to ensure design compliance with stringent quality standards and regulatory requirements, significantly contributing to the successful launch of new products.Collaborated with cross-functional teams to rigorously test and validate design changes, enhancing product reliability and performance.Authored efficient Python and SQL scripts for advanced data analysis and information retrieval, streamlining the process of generating existing data reports and analytics.Developed an automated program for generating daily System Level Test (SLT) reports, reducing the process time by 3-4 hours daily and boosting team productivity by 40%.Performed characterization and failure analysis by analyzing database and log files, optimizing data handling and analysis procedures to enhance operational efficiency.Led initiatives to optimize Automated Test Equipment (ATE) data and analyze business requirements, achieving a 20% reduction in test time and a 15% decrease in operational costs.Skills: Linux · Python (Programming Language) · Data Visualization · Oral Communication · SQL · SQLite · Electrical Engineering · Data Analysis · Knowledge Sharing

Master'S Degree, Artificial Intelligence

Bachelor'S Degree, Electrical And Electronics Engineering