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Technical Lead @ MathWorks | PhD, Machine Learning
With over 10 years of experience in software development, I am passionate about creating innovative and optimized solutions for machine learning and embedded systems applications. As a Technical Lead at MathWorks, I lead a team of talented engineers who develop and implement inference and on-device learning algorithms using native Simulink blocks. My mission is to enable our customers to design, verify, and deploy machine learning models on low-power edge devices efficiently and effectively. In my current role, I leverage my expertise in Simulink, Matlab, and Embedded Systems to create workflows for verification and validation of machine learning applications using Model-Based Design tools. I also use quantization and fixed-point implementations to reduce memory footprint and improve the execution speed of machine-learning algorithms. I have contributed to multiple projects that have resulted in improved performance, accuracy, and reliability of machine learning applications on various platforms and devices.
Northeastern University
PhD, Electrical and Computer Engineering
January 1, 2002 – January 1, 2006
Florida State University
Master of Arts (MA), Musicology and Ethnomusicology
January 1, 2001 – January 1, 2002
Isfahan University of Technology
Bachelor of Science (B.S.), Electrical and Electronics Engineering
January 1, 1990 – January 1, 1994
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Cultural Fit Analysis
The candidate's extensive experience at a single company (MathWorks) for over 17 years, while demonstrating loyalty and deep domain expertise, might suggest a preference for established environments. The target role of ML Engineer aligns well with their recent technical lead and senior developer roles focusing on ML/DL. However, the lack of diverse project experience outside of MathWorks could be a factor in cultural fit for a different organizational structure or technology stack. The breadth of skills is strong within their domain, but external project diversity is not evident.
Soft Skills & Operational Fit
The candidate's long tenure at MathWorks, progressing through various technical roles including instructional design and technical writing, suggests strong communication and collaboration skills. The focus on optimizing algorithms for low-power devices indicates a practical, problem-solving mindset. However, without psychometric test results, specific insights into work attitude, stress handling, or team collaboration are not available.