Systems and technology
Academic systems, engineered.
The frameworks, automation and AI workflows I build so institutions plan, teach and assess better.
Selected systems
Each case: the problem, what I built, and the result.
Clinical decision support
COFIP
- Problem
- Patients with several conditions need care plans that account for all of them.
- Built
- An ontology-based framework that predicts comorbidity and drafts patient-specific care plans at the point of care.
Assessment
AI-enabled CBT evaluation framework
- Problem
- Universities choosing computer-based testing systems with AI features had no common yardstick.
- Built
- A 15-domain evaluation framework for comparing CBT platforms.
Faculty operationsIn build
One platform for research, teaching and supervision
- Problem
- Papers, grants, coursework and theses tracked across disconnected spreadsheets.
- Building
- A private portal with row-level security, an audit trail, and a clean export to the university's official records.
Automation
Staff capability inventory
- Problem
- A directorate needed a current picture of its people's skills and roles.
- Built
- A Google Apps Script generator that builds and collects the capability survey automatically.
AI workflows
Custom AI skills for academic work
- Problem
- Curriculum design and thesis review are slow, and their quality varies.
- Built
- Structured AI workflows for curriculum design, examiner-grade thesis review, and turning theses into manuscripts.
Research infrastructure
A cloud-native lab
- Problem
- A research group spread across campuses with no shared physical lab.
- Built
- Shared code, reproducible workflows and a manuscript pipeline for BISL's ten founding members.
Standards and tools
What the work stands on.
Advisory and technical leadership.
Open to advising universities and startups on academic systems and applied AI.