At ProLeaf, I direct a three-developer team building a bilingual parent–teacher platform and AI recommendation engine. I designed a PIPL-compliant architecture for student records and a privacy boundary that pseudonymises data before LLM inference.
I also scoped the regulatory requirements for the minors’ data app and delivered a compliance roadmap and cost model to leadership. For ProLeaf’s website, I built a zero-data-collection static site with an in-browser booking flow.
At SGS Lanka, my data validation methods became the team-wide KPI standard. I built a Python reconciliation pipeline that cut manual review effort by roughly 60%, and at Curtin University HIVE Lab I architected a relational database and built bidirectional JSON data pipelines.

