AI Product Growth & User Research Strategist
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Label data related to computer vision real-world data with an emphasis in supervised fine-tuning and natural language.
Model human data related to computer vision voice and gesture with an emphasis in supervised fine-tuning and natural environmental responses.
I bridge medical-grade systems thinking with behavioral economics and AI automation, specializing in user research and architecting flexible data collection environments for 'gesture-based' ambient computing. My expertise lies in understanding the 'how' and 'why' of agentic tool calling in unstructured learning environments. I am passionate about self-service technologies, economic empowerment, and reducing the need for humans-in-the-loop. My background includes extensive research in AI multimodality, natural language processing, and behavioral economics, where I've designed adaptive feedback loops, optimized data collection for high-quality datasets, and developed user research workflows to identify outliers. I have hands-on experience with LLMs like ChatGPT and Claude, prompt engineering, and the AI development lifecycle, ensuring human alignment and ethical AI practices. As a Product Manager, I've acquired expertise in user research techniques, persona analysis, and product feature prioritization, alongside mastering stakeholder relationships and effective team management. My work as a Performance Coach involved designing productivity tools, applying sentiment analysis, and optimizing user interfaces for honest feedback. I excel at translating complex technical concepts into clear, actionable insights and am dedicated to improving AI output precision and utility through robust data analysis and engaging communication.