Publications & Applied Systems
Applied AI Research
Academic papers and applied research studies targeting data sovereignty, privacy-preserving LLMs, and behavioral dynamics in emerging markets.
Digital Learning Passport
Lead Researcher & Corresponding Author
Learner-controlled skill record built from LMS activity data, with gap detection against role requirements and offline recruiter verification. Demonstrated on 29,228 OULAD learner profiles. Accepted to ICTer 2026, Springer CCIS.
EdgeTal
Lead Researcher & Corresponding Author
On-device agentic RAG system for privacy-preserving talent discovery — full retrieval and inference pipeline at the edge, zero candidate data transmitted to the cloud. Presented at EICON 2026 (ESOFT International Conference), Kandy — awarded Best Poster Presenter.
From Surveys to Signals
Corresponding Author & Lead Researcher
An attribution-stability audit of machine-learning driver rankings on correlated HR survey data — testing whether SHAP-based explanations can be trusted, and building a deployable two-item scoring instrument from what actually holds up under resampling. Presented at AIRC 2026 (APIIT International Research Conference), Colombo — awarded Best Presenter.
Gen Z Job Commitment Study
Principal Researcher
Quantitative study of 386 Gen Z employees across WSO2, IFS R&D, Knovik, and Prime One Global, testing four determinants of job commitment via SPSS correlation and chi-square analysis. Manuscript in preparation for AIRC 2026.
Deep Learning-Based EV Adoption Forecasting
Research Lead — Knovik Private Limited
Hybrid deep learning framework (DNN + discrete choice / LSTM) predicting EV adoption among Sri Lankan Gen Z, trained on a 643-respondent primary survey and validated on F1-Score and ROC-AUC. Whitepaper available on request.