Being an AI Citizen Developer means leveraging no-code or low-code platforms to create AI-driven solutions without needing deep programming expertise. It involves understanding business needs, applying AI tools to solve problems, and collaborating with technical teams to implement scalable solutions. This role empowers non-technical professionals to innovate and drive digital transformation within their organizations.

I start by analyzing business processes to identify inefficiencies or repetitive tasks that can benefit from automation. I collaborate with stakeholders to understand pain points and evaluate whether AI tools like natural language processing, predictive analytics, or computer vision can provide solutions. Prioritizing problems with measurable impact ensures the AI solution aligns with organizational goals.

I have experience with platforms like Microsoft Power Platform, UiPath, and Google AutoML. Choosing the right platform depends on the project's complexity, integration needs, and scalability requirements. I evaluate factors like ease of use, available AI capabilities, and compatibility with existing systems to ensure the platform aligns with the project's goals and resources.

I prioritize transparency, fairness, and accountability by adhering to ethical AI principles. This includes ensuring data privacy, avoiding bias in algorithms, and regularly auditing AI models for unintended consequences. I also educate stakeholders about AI's limitations and risks to foster responsible use and build trust in AI-driven solutions.

I developed a chatbot using Microsoft Power Virtual Agents to streamline customer support for a retail client. By integrating it with their CRM, the chatbot reduced response times by 40% and improved customer satisfaction. I collaborated with the IT team to ensure seamless deployment and trained staff to maintain the system, demonstrating the value of citizen-led AI innovation.