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PhD student in robotics at QUT. I love coding!
mobile_robot_gazebo_example
July 30, 2024 – August 8, 2024
mobile_robot_gazebo_example — GitHub repository
View Projectblueberry_farm
May 31, 2022 – January 6, 2023
A virtual blueberry farm that works in Gazebo
View ProjecthuskyA200-VLP16
May 19, 2019 – May 19, 2019
Gazebo files to simulate the Husky A-200 robotic platform mounted with a Velodyne VLP-16 LidAR
loam_velodyne_kitti_ros
January 25, 2019 – April 12, 2021
LOAM algorithm to use with the KITTI Dataset
View Projectloam_velodyne_kitti
August 31, 2018 – June 3, 2019
loam velodyne tested with the KITTI dataset
View Projectcss_vlp16
January 21, 2018 – May 28, 2020
Implementation of Curvature Scale Space (CSS) using the Point Cloud Library (PCL) in a Velodyne VLP16
View Projectfind-peaks
January 17, 2018 – August 12, 2021
Algorithm to find peaks in a std::vector<float>
View ProjectSpeechRecognitionDSPIC33
March 9, 2015 – April 14, 2021
Speech Recognition with MFCC and ANN
View ProjectCultural Fit Analysis
The candidate's projects are heavily focused on robotics, computer vision, and embedded systems, primarily using C++. While this demonstrates deep technical expertise in a specific domain, the breadth of technologies and project types for a general 'Backend Engineer' role is limited. There is no explicit experience with common backend technologies like databases, web frameworks, distributed systems, or cloud platforms. This might indicate a need for significant upskilling to align with typical backend development environments, potentially impacting cultural fit within a team focused on web services or enterprise applications.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The candidate's profile primarily showcases technical project work without details on collaboration, problem-solving approaches, or communication styles.