As the lead developer, I led the creation of a Machine health monitoring system using a ensemble model trained trained on audio data to automate monitoring and prevent IC package cracks, deployed on Orangepi SBC.

Developed a Selenium-based automated allocation tool, reducing 98% of manual planning allocation and saving three days of work weekly, supporting planners across Philippines and Thailand. Deployed on enterprise servers.

Developed a vision system with yolov8 for automated IC counting in trays using Jetson Nano as the hardware, eliminating manual checks and identifying misoriented units.

Developed a RAG chatbot to enhance knowledge and information retrieval for equipment engineers, improving efficiency in equipment repairs and technical reviews.

Development, Debugging, and Evaluation of Test Solutions from Characterization to Release to Manufacturing for Simultaneous Sampling SAR ADC converters.

Built a Automated Flex Patterns Translator that transforms text pattern files, converting undocumented flex patterns into a clear, formatted output. Aimed at simplifying the pattern analysis process which significantly reduces the amount of debugging work from months to hours. It serves as a solution to manual pattern checking.

Trained a LGBM machine learning model to predict parameter shifts in components under temperature. The goal was to optimize manufacturing testing by eliminating unnecessary temperature stages, resulting in significant time savings.

Took up BS Electronics and Communication Engineering. We built a wireless system for cashierless POS for our final year project. Graduated cum laude. Electronics Engineering Licensure Exam passer.