Santtosh Muniyandy

Background

About Santtosh Muniyandy

My engineering journey is driven by a fundamental curiosity: why do things fail, and how can we use data to predict and prevent it? This question led me to the world of Reliability and Automation, where I find deep satisfaction in transforming noisy, complex manufacturing data into clear, actionable insights. At AMS OSRAM, I had the opportunity to apply this passion directly by automating pipelines and building monitoring tools wasn't just about writing code, it was about creating a system that could see and react to problems faster than any human could. There's a unique thrill in building a model that catches a potential failure before it ever happens on the factory floor. My approach combines: • Engineering Principles: Root Cause Analysis (RCA), FMEA, and HALT/HASS to understand the physics of failure. • Data Science: PyTorch, TensorFlow, and advanced statistical analysis to find the hidden patterns in the data. • Software Automation: Python, CI/CD, and robust data systems to build resilient, scalable solutions. I'm currently seeking a full-time role where I can continue to explore this intersection of hardware, software, and data. I'm keen to join a team that values first-principles thinking and is passionate about building products that are truly reliable by design.