I work at the intersection of Prompt Engineering and Product Management, helping shape AI interactions while guiding products from idea to launch. My focus is making AI practical, approachable, and genuinely useful for people.
As a Prompt Engineer, I’ve researched, designed, and tested prompts across different models and industries, with an emphasis on clarity, compliance, and real-world application. At Airia, I contributed to platform-level proof-of-concepts, including a prompt management module and an ROI module, while supporting persona creation and model evaluation. This work deepened my ability to connect technical AI behavior with user needs.
I am also a Product Manager, with hands-on experience leading small, focused teams through roadmap planning, MVP development, and launch preparation. My most recent role is with Hush Mind, an adaptive sound app for focus and sleep. There, I managed feature prioritization, coordinated design and engineering, prepared for App Store readiness, and wrote the prompts embedded directly into the developer’s code.
My background also includes experience in mobile app projects, digital marketing, and team training. Along the way, I’ve built skills in data analysis, SQL, user research, and cross-functional collaboration. I hold a Certificate in AI Prompt Engineering from Vanderbilt University, a Bachelor’s in Media Communication, and a Master’s in Digital Marketing & Social Media. Fluent in English, Portuguese, and Spanish, I bring a global perspective to every project.
I help people connect with AI in a way that feels natural, approachable, and genuinely helpful.
About me
Hush Mind
Adaptive sound programs for focus and sleep
Context
Most sound apps on the market — like Endel, Brain.fm, and BetterSleep — rely on loops. They repeat over time and can lose their effect. Hush Mind was created to be different: programs, not loops. Adaptive sound experiences that evolve to match focus and rest cycles.
My Role
As Product Manager, I:
Defined the product roadmap and prioritized MVP features.
Coordinated a small, focused team across design and development.
Managed App Store readiness, including ASO strategy and community engagement.
As Prompt Engineer, I:
Wrote the prompts integrated directly into the developer’s code.
Shaped the adaptive logic that powers Hush Mind’s unique sound programs.
Focus
MVP Delivery: Scoped core features (sound engine, sequencer, and UI/UX).
Launch Preparation: Testing, App Store optimization, and launch planning.
Differentiation: Researched competitors to ensure Hush Mind’s position as adaptive, not repetitive.
Outcome
Hush Mind was positioned for release as a next-generation focus and sleep tool. By blending prompt engineering with product management, the app delivers a sound experience that feels alive, not static — setting it apart from traditional sound apps.
Arii
AI doesn’t have to be a polite, boring assistant. Meet Arii—my fiery, funny AI persona designed to keep users on track with their health goals.
Large language models are inherently polite… but sometimes, being helpful means being a little bold.
In Arii’s design, I gave her 'permission' to speak strongly when a user’s choices went against their goals.
During testing, I asked if my husband having a hotdog with a beer was okay for his health plan. Arii’s response?
“Step away from the hotdog and beer.”
We all laughed—and learned that personality can make AI advice not only effective, but unforgettable.
Bringing AI Personas to Life
– Arii's Story
Education
Prompt design isn't just technical - it's personal.
As both a parent and a prompt engineer, I had a unique lens when developing the prompt libraries for BrainFreeze, Airia’s education platform. I wasn’t just researching how AI should respond—I was imagining how I’d want it to talk to my own child.
Built prompts that powered multilingual AI tutors and assistant personas, tailored to the learning needs of students, teachers, and even parents.
Led early research that shaped the platform's voice—balancing encouragement, clarity, and adaptability across languages and grade levels.
Designed conversational flows for tutoring, study planning, and behavior support across diverse learning scenarios.
Combined real-world parental instincts with prompt iteration and AI testing across multiple models.
Legal
In legal work, clarity matters more than creativity.
Working with in-house attorneys and feedback from real legal clients, I created the prompt libraries for Airia’s Legal AI Assistant, focused on compliance, consistency, and real-world usage.
Collaborated directly with two lawyers to understand tone, terminology, and boundaries in legal AI communication.
Created modular prompt templates for contract drafting, clause explanation, risk analysis, and citation support—all designed with auditability and safety in mind.
Focused on language that avoids hallucination and preserves intent—because in legal work, vague AI can be risky AI.
Took complex concepts and translated them into repeatable, controllable prompt flows for safe internal and external use.
Prompt Module
Context
In mid-2024, our team explored available prompt engineering tools (PromptMetheus, PromptKnit, PromptLayer, OpenAI Playground, Anthropic Console, etc.). We found a clear gap:
Tools were too technical for non-developers.
Limited ability to handle multi-turn conversations, collaboration, and ongoing testing.
No solution for version tracking or prompt lifecycle management.
Goal
Design an internal tool (initially called Workbench) to:
Enable team collaboration on prompt design and testing.
Provide version history and audit trails for traceability.
Support multi-model testing across providers (OpenAI, Anthropic,LLaMA, etc.).
Allow import of prior chats to evaluate prompt revisions in context.
Include real-world features missing from other tools, like variable support, function libraries, and file/photo inputs.
Outcome
This research shaped the Prompt Module. It offered a practical, user-friendly environment for testing, refining, and managing prompts at scale—something no off-the-shelf solution provided at the time.
Partnered with PR and marketing teams to align AI-assisted content with brand tone, audience needs, and product goals.
Collaborated across engineering, design, product, and legal teams to ensure prompts and product decisions were both compliant and user-centered.
Guided junior team members and interns through prompt development, testing, and practical workflows, while also supporting product research and documentation.
Brought clarity and structure to projects by bridging the gap between technical teams and non-technical stakeholders, ensuring alignment from prompt logic to product launch.
