Built internal AI agent prototypes using React and PydanticAI, enabling conversational access to campaign reporting data and demonstrating real-world LLM interaction.
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Integrated Stable Diffusion models on AWS Bedrock to power the AI Image Generator, building the frontend flow for image prompting, generation, preview, and insertion into marketing campaigns.
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Developed the AI Campaign Builder, allowing users to generate fully personalized, on-brand email campaigns from a single prompt, significantly accelerating campaign creation for thousands of users.
Led the development to streamline email campaign creation from a 5-page to a 2-page flow using React, TypeScript, and JavaScript, cutting users’ data entry time by 50%.
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Modernized user interface for advanced campaign management tools, by integrating a new design system in React and implementing localization, increasing user engagement by 30%.
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Reduced onboarding time for new engineer hires by 50% by documenting development processes.
Implemented conditional content with React, TypeScript, and PHP, allowing 180,000 customers to dynamically customize email content based on their contacts' preferences.
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Integrated personalization tags into the email editor using React and TypeScript, making it easier for customers to tailor messages and improve engagement with their contacts.