DevDay Pune

🎟️ Please RSVP here to get your free entry pass for the event

📄 About the talk
Constrained optimization is a critical part of many complex systems, where resources like time, labor, equipment, or energy must be efficiently allocated under strict rules. Traditional methods, such as Mixed-Integer Linear Programming or Heuristics, often fall short in dynamic and decentralized environments due to their rigid and centralized nature.

Dr. Karthika Vijayan will present a talk at the upcoming Sahaj Software DevDay in Pune, exploring how Agentic AI offers a compelling new way to solve these challenges. The discussion will include:

• The limitations of traditional, centralized optimization methods, and why they struggle in high-dimensional and dynamic systems.
• How Agentic AI provides a more compelling alternative by modeling system components as autonomous agents capable of local reasoning and negotiation.
• The power of this approach using a real-world case study of airline scheduling—a notoriously complex example of constrained optimization where aircraft, crew, and fuel must be scheduled under tight constraints.
• How hybrid frameworks, which integrate agentic models with classical solvers, create systems that are not only scalable but also resilient to real-time changes and disruptions.

📝 What You’ll Take Away
Attendees will gain a fresh perspective on tackling complex optimization challenges. They will start to see the difference between centralized, rigid solutions and decentralized, resilient, agent-based systems. They will get better at spotting problems that are a perfect fit for an agentic AI approach. They will learn why a flexible, adaptive model matters more than a rigid, centralized one, and importantly, they will feel more confident in their ability to design systems that are not only efficient but also robust and capable of handling real-world complexity.

🤔 Who Should Attend
Anyone interested in solving complex optimization problems, from software developers and architects to data scientists and operations research specialists, who want to learn about a cutting-edge approach.

🎤 About the speaker

👩🏻‍💼 Karthika Vijayan:
Karthika is a data scientist with Sahaj AI Software. She focuses on creating customized solutions for real-world business problems by designing composite machine learning pipelines. She has been working in the field of conversational AI with voice and text data for more than a decade.

📋 Prerequisite:

1. Optimization Techniques: Linear Programming to Reinforcement Learning - Part 1
2. Optimization Techniques: Linear Programming to Reinforcement Learning - Part 2

⏱️ Timeline

10:00 am – 10:30 am: Registrations
10:30 am – 12:00 pm: Talk
12:00 pm – 12:30 pm: Q&A and Networking
12:30 pm onwards: Lunch

Please note that the event will begin promptly at 10:00 am.