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.