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With a foundation in Human–Computer Interaction, data visualization, branding, and product strategy, I have built my career around applying advanced technology to practical and high-impact problems. My training in Design and Technology at Parsons (MFA) strengthened my bias toward clarity, rigor, and solutions that scale.

I grew up in the Pacific, where sustainable living was part of daily life, and later in Southern California, where drought cycles were constant. Water scarcity was not an abstract concept; it was a lived constraint. These experiences shaped my conviction that effective resource management is not optional and is essential for long-term resilience.

This is why Thallo AI focuses on perennial crop growers. Their assets such as fruit trees, vines, olives, coffee, and cacao take years to establish and are disproportionately exposed to climate volatility. When these systems fail, the impact is generational, not seasonal.

Thallo AI brings advanced technology and human-centered design into one disciplined product. It will be design-led by intention, intuitive, evidence-driven, and operationally useful from day one. Well-designed systems outperform in adoption, accuracy, and sustained value creation. That principle guides our approach.

We are in the pre-seed phase, building deliberately. My current focus is deep research into perennial farming workflows, constraints, and decision cycles, combined with the development of personalized AI models and an interface that reduces cognitive load rather than adding to it.

If you are interested in the work, in collaboration, or in shaping the next phase of Thallo AI, I welcome the conversation.

The goal is clear: equip perennial growers with tools that strengthen yield, resilience, and the future of agriculture.