Building Real-World AI Agents: From Idea to Impact
Session Description:
In a world where AI is rapidly evolving from tools to autonomous agents, the ability to design and deploy real-world AI applications is becoming a critical skill. In this session, I will walk participants through how I have built and deployed practical AI-powered systems—from healthcare analytics tools to agentic AI assistants—without requiring deep software engineering expertise.
This session will focus on translating ideas into working AI applications using accessible platforms and modern frameworks. Participants will learn how to design AI workflows, leverage large language models, and integrate tools like APIs, data pipelines, and automation frameworks to build impactful solutions. Real examples will include AI-powered healthcare assistants, decision-support systems, and agent-driven analytics tools.
Beyond technical implementation, I will also share lessons on responsible AI design, user experience, and how to ensure these systems create meaningful real-world impact.
By the end of the session, participants will leave with a clear roadmap, practical frameworks, and the confidence to start building their own AI-powered solutions—whether for education, business, or social good.
Speaker bio: Deepti Bahel is a Senior Data Engineer with over 12 years of experience in data, analytics, and AI, having worked with organizations such as Google, Intuit, and Accenture. She is the founder of the MediMate Foundation, a nonprofit focused on building AI-powered solutions to support patients and caregivers in complex healthcare journeys. Deepti specializes in building practical, real-world AI applications, including agent-based systems, healthcare analytics tools, and decision-support platforms. She is an active community leader with Women in Big Data and a frequent speaker and mentor, passionate about making AI accessible to builders, educators, and innovators.
Deepti Bahel | LinkedIn