Mahdi Heydari Email & Phone Number

Palo Alto, CA, US

Sunnyvale, CA, US

Making LLM, Multimodal, CV/ML models efficient on the edge devices. Working on custom neural network accelerator for edge. Training, optimization and customization of models.

San Jose, CA, US

San Jose, CA, US

• Developing machine learning/deep learning for anomaly detection and fault classification of industrial machines. The solutions are being deployed on TDK factories.
• Developing very efficient machine learning software and tools in order to run edge machine learning algorithms locally on an M0+ processor with hardware accelerators.
• Developing activity recognition and classification algorithms.
• Developing signal processing, factory calibration, and characterization algorithms for high-end industrial inertial sensor (the first industrial IMU in the company portfolio).
• Developing control and signal processing algorithms to achieve high performance thermal stability for inertial sensor. This product is designed for robotics application to overcome the calibration need.
• Working on proof of concepts for new sensors and applications.

San Francisco, CA, US

• Developed sensor fusion and localization algorithms for HD mapping and localization platform.
• Developed sensor fusion system with IMU, GPS, laser odometry and mapping (LOAM) and wheel odometry inputs.
• Developed unsupervised calibration to determine and correct system biases and sensors alignment.
• Developed services to improve quality of maps and combine maps using iterative closest point (ICP).
• Implemented and deployed various services for map creation, localization, calibration and sensor fusion utilizing Docker and MapReduce technologies.
• Developed and maintained sensor drivers.

Graz, AT

• Developed embedded software (production level for an OEM's vehicle) for a dual CAN communication ECU in C++.
• Performed hardware in loop (HIL) testing and software in loop (SIL) testing of the software to verify the functionality of the software.
• Autonomous vehicle R&D projects: ADAS, SLAM, Sensor fusion, Computer vision, and Control.

Richmond, Virginia, US

• Developed a series of products to perform research and training on different machinery fault diagnosis subjects.
• Developed the vibration analysis and signal processing software in LabVIEW.
• Developed an active vibration control system for a rotating shaft using magnetic bearing.
• Developed wireless accelerometer/gyro sensors.
• Developed comprehensive training solution for ISO vibration analyst certification.
• Performed design of experiment, testing, and root-cause failure analysis of products.

Worcester, Massachusetts, US

Held conference sessions and office hours, taught lab sessions, prepared course and lab materials, and graded assignments for the following courses:Introduction to Static SystemsSpacecraft Dynamics & ControlGuidance, Navigation & CommunicationIntroduction to Control of Dynamical SystemsIntroduction to Engineering DesignControl Engineering IIntroduction to.

Houston, Texas, US

• Field engineer in Drilling and Measurement (D&M) segment working on offshore rigs in the Persian Gulf.
• Worked with both MWD (measurement while drilling) and LWD (logging while drilling) tools.
• Acquired and delivered high-quality formation evaluation, wellbore quality data and directional drilling service to clients.
• Led D&M team and was responsible for operation monitoring, equipment on-site maintenance, logistics, contingency plan-making and failure analysis.
• Coordinated other service providers, provided technical solutions, including adjusting drilling parameters and mud property, etc., according to real-time situations for risk-control and drilling optimization.

Doctor Of Philosophy (Phd), Mechanical Engineering

Master Of Science (Ms), Mechanical Engineering