Software Engineer & Data Science Student at ITB
Frontend Developer • Machine Learning • AI/ML Enthusiast

Kurt Mikhael Purba is an Informatics Engineering student at Institut Teknologi Bandung (ITB) who is enthusiastic about creating innovative digital solutions. His academic journey is centered around two main pillars: Software Engineering and Data Science.
He believes that the combination of robust code and data-driven insights is the key to building products that are both intelligent and impactful. Within the realm of Software Engineering, his passion lies in front-end development — transforming complex ideas into clean, engaging, and accessible user interfaces using modern frameworks like React, Next.js, and TypeScript.

OSKM ITB 2025 is the orientation program for new students at ITB, where I contributed as a committee member to help organize and facilitate various activities for the newcomers.
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Nusantara Alert is a platform that provides real-time information and alerts about natural disasters in Indonesia.
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Pothole Detection is a project that uses computer vision techniques to identify and locate potholes on roads, aiming to improve road safety and maintenance.
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Create a model to detect image spoofing using DinoV3 as the backbone, trained on a dataset of real and spoofed images to achieve high accuracy in distinguishing between the two.
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A 3D mesh voxelizer that uses octree data structures to efficiently represent and manipulate 3D models.
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A retrieval-augmented generation (RAG) chatbot designed to provide accurate and contextually relevant responses about Satedu.
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Achieved Grade A in the Data Science Academy at ISE 2025, demonstrating strong analytical skills and practical application of machine learning techniques in real-world scenarios.

This paper presents a novel approach to enhance the accuracy of liveness detection in facial recognition systems. By employing a divide and conquer strategy on facial image grid segmentation, the proposed method optimizes pre-processing steps, leading to improved detection performance. The study demonstrates significant improvements in both speed and accuracy compared to traditional methods, making it a valuable contribution to the field of biometric security.

This paper explores the simulation of robotic manipulator movements in Euclidean space using vector geometry approaches. By implementing the Cyclic Coordinate Descent algorithm, the study provides an efficient method for calculating joint angles and positions, enabling precise control of robotic arms. The research highlights the effectiveness of this approach in achieving smooth and accurate manipulator movements, contributing to advancements in robotics and automation.

Academic division staff responsible for educational programs, curriculum development, and student mentoring at STEI-K ITB 2024.

Contributed to technical preparation and supervised competition execution, including guidelines development and infrastructure management.

Implemented responsive user interface for OSKM website with cross-browser compatibility and interactive elements for new ITB students.

As Vice Chief of Technology, led technology initiatives to support SatuEdu's mission of providing quality and inclusive education access to underserved communities in Indonesia.

Designing user interfaces and experiences for the Arkavidia 10.0 event, focusing on usability and visual appeal.

Building an educational learning platform accessible to the nation's youth