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Muhammad Zulfaqar Azmi has a strong background in software engineering, research, and project management. Muhammad Zulfaqar is currently working as a Software Engineer at TIER IV, where they focus on improving the behavior path planner module of the Planning Component in Autoware. Muhammad Zulfaqar also maintains Autoware's lane change module code and contributes to design documentation and unit testing for planning scenarios.

Prior to their current role, Muhammad worked as a Researcher PHD Student at Shibaura Institute of Technology. There, they were involved in the development of a Senior Car Project, where they planned the system design architecture and integrated hardware and software using Robot Operating System and Arduino. Muhammad Zulfaqar primarily used C++ as the backend development language.

Muhammad also has experience as a Senior Engineer at Moovita Pte Ltd, where they contributed to the development of autonomous vehicles by investigating Simultaneous Localization and Mapping System (SLAM) algorithms and performing sensor calibration, mapping, and tuning.

Furthermore, Muhammad worked as a Master Postgraduate Researcher at the Malaysia Japan International Institute of Technology, Universiti Teknologi Malaysia, where their research focused on human driving behavior, machine learning, and collision avoidance. Muhammad Zulfaqar developed and implemented a steering intervention system to avoid rear side collisions.

Before transitioning into the field of autonomous vehicles and research, Muhammad gained project management experience as a Project Engineer at BPE Engineering & Services Sdn Bhd. Muhammad Zulfaqar successfully secured a contract worth RM 6 million with a major Malaysian oil and gas client.

Earlier in their career, Muhammad worked as a Design Engineer at Sony EMCS (M) Sdn Bhd, where they coordinated between in-house engineering and overseas software vendors.

Overall, Muhammad Zulfaqar Azmi's work experience showcases their expertise and involvement in various aspects of software engineering, research, and project management within the automotive and technology sectors.

Muhammad Zulfaqar Azmi's education history includes a PhD in Functional Control System from Shibaura Institute of Technology, which they pursued from 2018 to 2021. Prior to that, they completed a Master's Degree in Master of Philosophy from Universiti Teknologi Malaysia between 2015 and 2018.

In addition to their academic degrees, Muhammad Zulfaqar Azmi has obtained several certifications. These include "Learning Personal Branding" and "Test-Driven Development in C++" from LinkedIn, acquired in February 2021. Muhammad Zulfaqar also obtained certifications in "C++ Design Patterns: Creational", "C++: Advanced Topics", and "Parallel and Concurrent Programming with C++ Part 1" from LinkedIn in January 2021. In January 2021, they completed the "State Estimation and Localization for Self-Driving Cars" certification from Coursera. Moreover, in June 2020, they obtained a certification in "Multi-objective Optimization Problems and Algorithms" from Udemy.