AI Hackathons

Situation

Led two cross-functional team to compete in the 2023 & 2024 watsonx.ai challenges by designing high-impact AI solutions that address real-world business problems—specifically inefficiencies in the seller chatbot experience and reduction in seller efforts in client outreach.

Task

• Demonstrate business impact through a clear “before & after” scenario and estimated cost savings.

• Highlight innovation and product improvements via performance metrics and bug resolution.

• Deliver a compelling demo and pitch presentation.

Action

• Led the formation of a diverse team, including designers, sales leadership, developers, architects, and researchers.

• Identified key pain points through user research: overwhelming chatbot responses, complex dashboards, and poor filtering.

• Designed and built—an AI-driven, conversational chatbot that provided tailored, context-aware responses with intelligent prompting.

• Designed and developed an AI-powered tool that uses Granite LLM to extract and summarize relevant business insights.

• Facilitated team collaboration, managed task tracking, and led development of the final demo and presentation.

Result

Delivered a successful “before and after” demo illustrating dramatic improvements in usability and task efficiency.

• Showcased how AI reduced seller time spent on non-productive tasks (up to 30%), enabling greater focus on revenue-generating work.

• Improved seller productivity by reducing prep time by up to 78%.

• Delivered higher-quality, more targeted client communications.

• Presented a concise, high-impact pitch and live demo that clearly communicated both the business value and technical innovation of the solution.