I work across Learning & Development, learning systems, AI in Education, and applied AI research.
My background combines computer science, higher education, curriculum development, learning technology, research, and hands on program leadership. I am currently building a stronger research portfolio around AI in Education and preparing for doctoral work in this area.
- AI in Education, especially learner agency, learning analytics, explainability, responsible AI, and human and AI collaboration.
- Learning & Development systems, instructional design, curriculum architecture, and learning operations.
- AI Engineering research prototypes with reproducible code, tests, evaluation, and documented limitations.
Main portfolio: https://devissaputra.github.io/
Research: https://devissaputra.github.io/research.html
Learning & Development: https://devissaputra.github.io/learningdevelopment.html
AI in Education: https://devissaputra.github.io/aieducation.html
AI Engineering repositories cover regression, calibration, imbalanced learning, clustering, anomaly detection, neural networks, convolutional networks, sequence models, explainable AI, and transformer forecasting.
AI in Education repositories explore generative AI use, teacher and AI assessment, privacy preserving learning analytics, multimodal self regulation, learning design process mining, hybrid intelligence, explanation faithfulness, collaborative reasoning, cognitive offloading, and classroom discourse.
I hold a BEng in Informatics from Institut Teknologi Bandung and an MBA in International Business from THWS in Germany. My professional experience includes university teaching and academic program leadership, enterprise learning systems, digital health implementation, and AI model evaluation.
LinkedIn: https://linkedin.com/in/devissaputra
ORCID: https://orcid.org/0000-0002-7133-9410
Google Scholar: https://scholar.google.com/citations?user=EB5_ZRMAAAAJ
Portfolio: https://devissaputra.github.io/