Contributed to enhanced searching endpoint, resulting in a 20X speed improvementOptimized storage by 60% through precise refactoring of entitiesDeveloped reporting endpoints with 50% lower heap memory usage

Medical Passport Project (Optical Character Recognition for Hospital Patient Registration Flow)• Improved OCR model accuracy by 12% (from 80% to 92%) by data regularization and data augmentation.• Registration time was reduced by 30% and capacity improved by 15%, optimizing patient flow and resource allocation.• Created end-to-end solutions, including front- and back-end sides for online patient registration.

Organized data training for the classification model, which was tailored for each unit in the 69 Toll Road.• Conducted model training and tuning for each control unit.• Simplified the monitoring of performance, including accuracy, confusion matrix (performance measurement method), and availability of each control unit with a combination of BI dashboards and web applications.

Coordinated a multi-disciplinary team of six people in the development of the project.Delegated and supervised the development of the systems.Reviewed and advised on all technical aspects of the project, including code, wiring diagrams, and documents about the systems from subordinates.Key Achievement:• Led the team to completed the project on time and resulted in:• Awarded Innovation of the year in fields of Agriculture and technology advancement in Salman Technofest 2022.• Research Corporation Opportunity with West Java Food Security and Agriculture Department, Indonesia.

• Optimized data acquisition strategy for the VBS04 force sensor on the industrial robot arm.• implemented the Fast Fourier transform for signal conversion, resulting in a 40% noise reduction.• Boosted anomaly detection accuracy by 25% through the implementation of a one-class v-SVM classifier.• Streamlined monitoring and data harvesting activities with the development of user-friendly DAQ interfaces Coursework Studied: Introduction to Machine Learning.Research in: Development and application of force sensor to industrial robot arm.