Workshop Facilitator, "Talking to Think: Iterative Prompt Design" — internal company training series (
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Workshop Facilitator, "Talking to Think: Iterative Prompt Design" — internal company training series (. Brings 9+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Don't disclose and Google Cloud Vertex AI. Education includes Master of Science, Carnegie Mellon University (2018) and Bachelor of Arts, University of Illinois Urbana-Champaign (2016). AI-training focus includes data types such as Text, Computer Code, and Programming and labeling workflows including Prompt + Response Writing (SFT), Named Entity Recognition, and Promp
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Designed and refined system prompts and conversation flows for a customer-facing AI assistant using live chat iteration with the model. Conducted structured test dialogues to surface and fix edge-case failures, and used outcomes to update prompt specifications and guardrails. Used example dialogues and few-shot conversations to steer model behavior and improve response consistency metrics. • Ran 500+ structured test dialogues for regression-style edge-case discovery. • Pressure-tested persona, tone, and guardrails via extended back-and-forth model sessions. • Converted successful conversation prototypes into versioned prompt specs to reduce iteration time. • Partnered cross-functionally to turn chat findings into structured evaluation criteria.
Iteratively developed prompts for internal AI tools through extended diagnostic conversations that probed reasoning and instruction compliance. Explored new AI feature concepts via open-ended chat with the model prior to coding, then translated insights into prompt updates. Documented recurring conversational failure patterns and tested real-time fixes through further model interactions. • Held back-and-forth diagnostic sessions to refine prompt instructions. • Ran discovery conversations to accelerate concept-to-prototype cycles. • Produced documented failure analyses (e.g., ambiguity, missing context, over-eager responses). • Trained a team of six stakeholders to co-author and refine prompts through guided conversation.
Shaped a patient-facing health chatbot by collaborating through hundreds of hours of live conversation and refining its responses. Tested wording and tone variations in chat to observe how changes affected the bot’s answers and improved empathetic accuracy. Created a QA process where new conversation topics were first explored via manual chat testing, then converted into approved response templates. • Conducted iterative chat-based evaluation of empathy and accuracy for health questions. • Refined instructions and tone guidelines through controlled phrasing experiments. • Formalized manual chat-tested topics into reusable, approved response templates. • Participated in continuous improvement of conversation quality for patient-facing use.
Master of Science, Human-Computer Interaction
Bachelor of Arts, Linguistics
Senior AI Conversation Designer
Prompt Engineer / AI Behavior Specialist