Laxman Pangeni is a seasoned Design and Reliability Engineer specializing in predictive modeling, data science, and advanced statistical analysis to enhance product performance and reliability across complex systems.

With dual master’s degrees in Data Science Engineering and Design Engineering, Laxman brings over 15 years of diverse industrial experience spanning robotics, consumer electronics, automotive, and manufacturing sectors across Asia, Europe, and North America. His expertise lies in seamlessly integrating cutting-edge machine learning techniques with traditional reliability engineering practices, driving data-informed decisions that optimize system design, improve operational efficiency, and ensure long-term product reliability.

Reliability by Design

Laxman is the author of the article series Reliability by Design.

In today’s fast-paced engineering landscape, building products that are not only innovative but also resilient is critical. “Reliability by Design” is a comprehensive article series that explores the principles, methodologies, and best practices of Design for Reliability (DfR). This series delves into how reliability can be systematically integrated into the design process from concept to deployment, covering topics such as Failure Modes and Effects Analysis (FMEA), Physics of Failure (PoF), robust design techniques, and predictive reliability modeling. Whether you’re a reliability engineer, product designer, or quality professional, this series will provide actionable insights to help you develop products that stand the test of time.