AI Engineer
ML/CV Engineer with an MSc in AI from Korea University. 4+ years of experience in computer vision, deep learning, robotics and software engineering. Specializing in image & video segmentation, depth estimation, instance retrieval, and dense/sparse matching.
Featured Publications
IJCNN 2025
CW-BASS: Confidence-Weighted Boundary Aware Learning for Semi-Supervised Semantic Segmentation
Ebenezer Tarubinga, Jenifer Kalafatovich, Seong-Whan Lee
Tackled boundary blur and confirmation bias using confidence-weighted and boundary-focused techniques to improve segmentation performance.
Neural Networks (Elsevier) – Under Review
FARCLUSS: Fuzzy Adaptive Rebalancing and Contrastive Uncertainty Learning for Semi-Supervised Semantic Segmentation
Ebenezer Tarubinga, Jenifer Kalafatovich, Seong-Whan Lee
Introduced fuzzy labels and lightweight contrastive learning to improve generalization in semi-supervised semantic segmentation.
Projects & Research
Explorations across computer vision, generative models, reinforcement learning, and more
Dual-Embedding Guided Backdoor Attack on Multimodal Contrastive Learning
View Project →Computer VisionSemantic-Aware Multi-Label Adversarial Attacks
View Project →Computer VisionSelf-Training for Semi-Supervised Semantic Segmentation
View Project →Computer VisionScalable Urban Dynamic Scenes (NeRF)
View Project →Computer VisionSpeech Emotion Recognition
View Project →Generative ModelsAutoregressive Text-to-Image Generation (Parti)
View Project →Work Experience
AI Research Engineer
GractorSept 2025 – present · Seoul, Korea
- •Designed and implemented AIoT solutions for smart city systems
- •Developed CV and ML models for several smart city systems
- •Integrated ML models into production systems in collaboration with cross-functional teams
Machine Learning Research Engineer
Pattern Recognition & Machine Learning Lab (Korea University)Aug 2023 – Aug 2025 · Seoul, Korea
- •Built and deployed novel segmentation models, outperforming baselines by up to 25% mIoU
- •Collaborated with industry partners on R&D, publishing papers and filing a patent
- •Developed object detection and tracking pipelines for autonomous driving
- •Led research in depth estimation, instance retrieval, and dense/sparse matching
Software & AI Engineer
GliTAug 2022 – Aug 2023 · Hybrid
- •Led tech strategy and completed 10+ full-cycle projects
- •Built and deployed AI-powered applications using deep learning frameworks
- •Launched Innovation Hub clubs in schools, engaging 250+ students
- •Secured 10+ school partnerships, increasing tech adoption by 40%
Education
Korea University
Master of Science, Artificial Intelligence
2023 – 2025 · Advised by Dr. Seong-Whan Lee
Core Skills
Vision Tasks
Scene classification, object detection/tracking, semantic segmentation, depth estimation
Frameworks & Tools
PyTorch, TensorFlow, OpenCV, CUDA, ONNX, Docker, Blender, Unity
Languages
Python, C++, C#, Bash, Java
Other
MLflow, Agile development, CI/CD, NVIDIA Jetson, academic writing, stakeholders
Certificates
IBM
IBM Applied AI Professional Certificate
Northwestern University
Modern Robotics Specialization
Foundations of Project Management
Amazon
Semantic Segmentation with Amazon Sagemaker
Amazon Web Services
AWS S3 Basics
Microsoft
ML Pipelines with Azure ML Studio
Emory University
Neuroscience
MIT
Game Development using Scratch
Interested in collaborating?
Open to research collaborations, consulting, and engineering opportunities.