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Hamid Satarboroujeni

Principal Software Developer @MathWorks

Natick, MA, US
EMAILS
h••••••••@mathworks.com
MOBILE NUMBERS
+15•••••••68

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WORK HISTORY

May 2024 — Present

Principal Software Developer @MathWorks

US

EDUCATION

1990 — 1994

Isfahan University of Technology

Bachelor of Science (B.S.), Electrical and Electronics Engineering

2002 — 2006

Northeastern University

PhD, Electrical and Computer Engineering

2001 — 2002

Florida State University

Master of Arts (MA), Musicology and Ethnomusicology

SKILLS

EclipseSystems EngineeringSystems DesignModel Based DesignCProgrammingOptimizationStateflowMatlabSoftware EngineeringVisual StudioStatistical Signal ProcessingC#.netMathematical ModelingControl Systems DesignSystem DesignMusic Signal ProcessingC++Biomedical EngineeringTechnical TrainingSoftware DevelopmentPythonControl System DesignObjective-CEmbedded SystemsModelingMatlab CoderSqlMachine LearningJavaKalman FilteringStatistical ModelingSoftware DesignSimulationsSoftware TrainingInstructional DesignAudio ProcessingEthnomusicologyEmbedded Coder

ABOUT HAMID SATARBOROUJENI

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.

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