AI in the Real World: From Developer Productivity to Autonomous Agents
We focus on maintaining engineering rigor—using AI as a productivity multiplier while preserving core skills like problem-solving and system thinking. The lecture also introduces AI agents, their real-world use cases, limitations, and how they differ from traditional systems.
Participants will leave with a clear framework for using AI effectively, avoiding common pitfalls, and understanding when and how to build AI-driven workflows and agent-based systems.
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Hina Gandhi
AI in the Real World: From Developer Productivity to Autonomous Agents
We focus on maintaining engineering rigor—using AI as a productivity multiplier while preserving core skills like problem-solving and system thinking. The lecture also introduces AI agents, their real-world use cases, limitations, and how they differ from traditional systems.
Participants will leave with a clear framework for using AI effectively, avoiding common pitfalls, and understanding when and how to build AI-driven workflows and agent-based systems.
Biography:
Hina Gandhi is a technical leader with extensive experience in designing and developing scalable, high-performance applications. She holds a Master’s degree in Information Systems and a Bachelor’s degree in Computer Science Engineering. Over the years, she has demonstrated her technical expertise through impactful roles at Cisco Systems, VMware, and CloudHealth Technologies, excelling in areas such as cloud-based microservices, big data platforms, and SaaS solution development.In recognition of her leadership and technical impact, Hina was named the 2025 Women in Tech – Software Engineering Leader of the Year. Beyond her industry contributions, she is passionate about giving back to the community by mentoring students and delivering guest lectures at universities, inspiring the next generation of technology professionals.
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