About

Researcher, engineer, and persistent question-asker.

I am an AI researcher based in Melbourne, working between first-principles research and end-to-end systems. I care about ideas that survive contact with real data, operating constraints, and careful evaluation.

I completed my undergraduate studies in Electronic and Telecommunication Engineering at the University of Moratuwa. My doctoral research at Monash University explores multimodal adaptation of foundation models—from language-grounded visual prompting to retain-free machine unlearning.

Path

Across research and engineering

2025—now

Applied Research Scientist · OpenStreamAI

Agentic AI, document-understanding vision-language systems, verification, and evaluation.

2023—2026

Doctoral research · Monash University

Multimodal adaptation, machine unlearning, model alignment, and construction-domain vision.

2019—2022

Senior ML Research Engineer · Sagence AI

Computer vision and hardware-aware deep learning for analog accelerators.

2018—2023

Research collaborations · Emory & Northwestern

Digital pathology, survival modelling, domain adaptation, and reproducible model evaluation.

Community

Teaching and service

Teaching

Teaching assistant at Monash University for Computer Vision and for Neural Networks & Deep Learning, supporting lectures, assessment, and student projects.

Reviewing

Reviewer for conferences including NeurIPS, ECCV, WACV, ACM Multimedia, and AAAI. Recipient of an ECCV Outstanding Reviewer Award.