Muhammad Khairul Makirin
Robotics/Software Engineer | MS Robotics @ KAIST
Experience
Robotics Software Engineer, Movel AI
2023 - 2025
Developed a multi-robot Fleet Management System (FMS) that connects multiple types of robotics systems. Effectively managed 5 client integration projects across Indonesia, Singapore, and India. Successfully deployed a decentralized multi-robot collision avoidance algorithm for in the FMS. Assembled a multi-robot simulation environment using AWS EC2 instances within a single Gazebo simulation instance
R&D Software Engineer, CAD-IT Consultants (Asia)
2021 - 2023
Researched and developed software systems centred around robotics applications, mainly for autonomous UAVs (Unmanned Aerial Vehicles). Developed a ROS-based system for autonomous drones. Implemented a web-based FMS (Fleet Management System) for managing multiple autonomous units. Created and maintained documentation for various robotic software and applications
Education
M.S. Robotics at KAIST
Korea Advanced Institute of Science and Technology (KAIST), South Korea
2025 - Present
MS student in The Robotics Program at KAIST. Working as a research assistant under the supervision of Prof. Dong-Eui Chang of KAIST Control Lab.
B.Sc in Informatics/Computer Science
Bandung Institute of Technology (ITB), Indonesia
2017 - 2021
Computer Science Bachelor from Bandung Institute of Technology. Thesis on Unsupervised News Image Captioning using Generative Adversarial Network (GAN).
Achievements
2nd Place at the Indonesia National Flying Robot Contest (KRTI)
2018
Indonesia Ministry of Education, Culture, Research, and Technology
Speaker at the International Seminar on Aerospace Science and Technology (ISAST)
2020
Indonesia National Aviation and Space Agency
Publications
2020
We proposed a method for real-time detection of flying drones and UAVs that could be run with a limited computing device like an onboard computer for a drone. This method is approached from a machine learning perspective resulting in an object detection model to detect and localize multiple drones in a given image.
Projects
2020 - 2021
Created a news-image captioning technique using an unsupervised Generative Adversarial Network (GAN) with a Convolutional Neural Network (CNN) for image encoding and a Transformer model to generate and discriminate captions.
2021
Modified MeshFlow video stabilization algorithm to support real-time constraints and platforms with limited computing resources (Raspberry Pi, Odroid, etc)
2022
Develop ROS 2 Packages for an Indoor Quadcopter Navigation and Task Execution System. Utilize RTABMap for SLAM, OMPL for Path Planning, and Nav2 for Navigation. Simulate and Test the System in Gazebo.
Volunteer Experience
Head of Robotics Software Control, Aksantara ITB
2019 - 2020
Directed a department of 14 people to develop software tools and libraries for autonomous quadcopters and fixed-wing aircraft. Produced 2 papers in AI/Emerging Tech theme for the 2020th International Seminar on Aerospace Science and Technology (ISAST).
Technical Skills
Language
Programming