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Solving Optimisation Problems with Linear Programming

About the Talk Solving Optimisation Problems with Linear Programming Optimisation sits at the core of many real-world problems, from allocating limited resources to planning schedules and maximising outcomes under constraints. In this Devday session, Sagar Khandelwal, Solution Consultant at Sahaj Software, delivered a practical and accessible introduction to Linear Programming, focusing on how it can be applied directly to everyday engineering and business challenges. Rather than diving into heavy mathematical theory, the talk demonstrated how optimisation problems can be identified, modeled, and solved programmatically. Using Python libraries like PuLP, Sagar showed how sophisticated optimisation problems can be framed and solved with just a few lines of code making linear programming approachable for a wide audience. 📌 This talk covered: What linear programming is and where it fits in real-world optimisation How to spot optimisation opportunities in everyday projects Modeling constraints, objectives, and decision variables effectively Solving optimisation problems using Python and PuLP Applying data-driven decision-making without complex math About the Speaker Sagar Khandelwal Solution Consultant, Sahaj Software Sagar is a results-driven IT specialist with over 12 years of experience leading agile teams and building scalable, distributed, cloud-native systems. He specializes in system architecture, technical leadership, and delivering high-performance applications across industries, bringing a strong practical lens to problem-solving and optimisation. 🎥 Watch the full talk to learn how linear programming can unlock smarter, data-driven decisions for real-world challenges. #devday #sahajsoftware #linearprogrammingproblem #optimization #python #PuLP #datadrivendecisions #softwareengineering #FromPromptsToPower