Lalainne Anne Abel

I’m an Electronics Engineering graduate specializing in Industrial Automation and Control, and I love turning messy real-world constraints into measurable improvements. My coursework and projects pushed me toward applied data science, engineering data analysis, and hands-on programming.

At Schneider Electric, I supported customer satisfaction and quality work through process improvement using quality management tools and Smart Factory initiatives. I also handled operational alignment by coordinating with factories and distribution centers, maintained BFO installed base records, and prepared reports for Orchid leaders while supporting safety procedure evaluation and equipment retention checks.

As a Digital Transformation Engineer Intern, I worked on microcontroller programming and wiring for automation systems and helped integrate computer vision technologies into digital solutions. I also supported reliability and documentation efforts around secure power data and recall-related projects.

In research, I built a real-time pantry object detector using YOLOv5 transfer learning, using a proprietary dataset augmented for varying lighting and orientation. Separately, I designed and tested a Deep-UV cabinet prototype for UVC disinfection with UV sensor and reed switch monitoring—validating practical performance through functionality testing, including a banana test.