6+ years of AI research and applied machine learning since 2020, from industry-funded projects to international conference work.
Applied AI / Research / Systems
Duncan Kibet
I build practical AI systems with a focus on machine learning, research, and deployable software across healthcare, energy, automation, and safety.
I am a PhD candidate in Industrial Engineering at Chosun University in South Korea, where I also completed my master's and bachelor's degrees.
Expected PhD graduation: February 25, 2027
I'm broadly interested in:
- applied machine learning and research translation
- building backend systems that are useful in the real world
- computer vision, graph learning, NLP, and time-series analysis
summary
9 conference and workshop presentations, 5 registered software works, and 2 patent applications.
Computer vision, 3D human pose estimation, graph neural networks, NLP, time-series analysis, and explainable AI.
skills
languages
Python, Dart (Flutter), TypeScript, Java, Node.js, MATLAB, SQL
machine learning
PyTorch, TensorFlow, Keras, OpenCV, YOLO, MediaPipe, Hugging Face Transformers, XGBoost, scikit-learn
deployment and data
FastAPI, Flask, React, Docker, Kubernetes, AWS, Google Cloud, Firebase, PostgreSQL, MySQL, GitHub Actions
education
Chosun University
PhD in Industrial Engineering, Gwangju, South Korea. Expected graduation: February 25, 2027.
Chosun University
Master's in Industrial Engineering, Gwangju, South Korea.
Chosun University
Bachelor's in Materials Science and Engineering, Gwangju, South Korea.
Ebenezer High School Academy
High school education in Kenya.