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.

  • HL7 health information systems
  • ITIL service management
  • Software product management
  • Data science and business analytics
  • Python
  • R
  • Google Apps Script

Advisory and technical leadership.

Open to advising universities and startups on academic systems and applied AI.