I developed an AI-powered health assistant using OpenAI API, training it on over 5,500 files to deliver accurate health-related answers. I enhanced response efficiency by 50% through a vector database for faster query processing and designed an intuitive user interface for seamless interactions. By integrating the USDA database, I ensured that responses were supported by reliable data, boosting accuracy and credibility. Additionally, I contributed to open-source projects, improving AI accuracy and developing tools for enhanced performance and scalability.

I conducted workshops to improve quality and agent performance, addressing common challenges and anticipating operational difficulties. I provided guidance and mentorship on campaign content through live sessions, Slack interactions, and one-on-one meetings. I offered constructive feedback to ensure client expectations were met and assisted leads in monitoring agent performance, including auditing agents flagged for quality concerns.

I trained AI models to solve human problems, evaluating the accuracy of their outputs and interpretations. I actively tested the models by inducing mistakes to improve their recovery mechanisms. Throughout this process, I documented issues and provided recommendations for enhancing the team's training methods.

I conducted in-depth research to create engaging content, including blog posts, articles, landing page copy, and emails, while applying SEO best practices to boost organic visibility. I collaborated with the marketing team to align content strategies and target specific audiences and worked with the sales team to gather feedback and develop email templates to nurture leads. Additionally, I designed specialized account-based marketing programs for larger prospects, using targeted messaging and higher budget campaigns to convert key accounts into qualified meetings. I also refined product positioning and messaging to resonate with the target market.