Industry
Applied AI, software systems, and practical strategy.
I care about research, but I also like seeing ideas survive contact with real systems, users, constraints, and product decisions. My industry work has helped me understand that good AI work is not only about models, but also about infrastructure, evaluation, data, interfaces, and the organizational choices around them.
Applied Scientist Intern
Multi-modality
Worked on multi-modality related problems, with a closer view of how applied research is shaped by data, reliability, evaluation, and production constraints.
Advisory
Low-key AI strategy
Provided software and AI strategy consulting for a mid-sized company, helping separate where AI could realistically help from where ordinary software engineering was the better answer.
Software Developer
Early engineering practice
Worked at Infrastructures for Information during my undergraduate study, building maintainable software and learning to understand existing systems before changing them.
Research Assistant
Uroflow project
Worked on a clinical research application for uroflow analysis, connecting mobile recording, backend processing, and clinician-facing review.
Applied AI
I worked as an Applied Scientist Intern at Amazon, where I worked on multi-modality related problems. This experience gave me a closer view of how applied research is shaped by production constraints, data quality, system reliability, and the need to connect model behaviour with user-facing value.
Software and AI strategy
I have also done low-key software and AI strategy consulting for a mid-sized company. The work involved thinking through where AI could realistically help, where ordinary software engineering was the better answer, and how to turn broad technical ambition into a more practical roadmap.
Software development
During my undergraduate study, I worked as a software developer at Infrastructures for Information, commonly known as i4i. That experience shaped a lot of my early engineering habits: building maintainable software, understanding existing systems before changing them, and writing code that other people can actually work with.
Clinical research systems
I also worked as a Research Assistant on the SickKids Uroflow project. The system connected a mobile app for recording urine sound, backend processing, and a clinician-facing interface for reviewing generated curves and patient status. It was a useful experience in building software around a real clinical workflow.