Building AI systems that are measurable, reliable, and ready to ship.

I am an AI Systems / ML Engineer focused on LLM systems, generative models, and multimodal perception. I like problems where research ideas have to survive real constraints: limited compute, noisy data, latency budgets, reproducibility requirements, and production operations.

Alongside AI research and systems work, I have built full-stack products across mobile, backend services, infrastructure, payments, media pipelines, and admin operations. That product background shapes how I design AI systems: measurable, usable, maintainable, and ready to ship.

My research path also includes EEG and wearable-sensing work at Khan Lab at USC, where I built experiment software, firmware support, data-processing pipelines, and machine-learning classifiers for cognitive and affective-state analysis.