Aadhithya D

• Automated wear and tear analysis report generation for mining mills, reducing the processing time by 70%.

• Led the development of an iOS mobile app with SwiftUI for 3D scanning of mining mills, utilizing LiDAR data and Photogrammetry, and

integrating ObjectCapture for precision, seamlessly connected to the cloud.

• Engineered a desktop app with Flutter for streamlined cloud storage management and automated report generation.

• Initiated the integration of machine learning models to automate report generation, streamlining data analysis processes.

• Developed algorithms to achieve precise 3D object segmentation and thickness analysis, significantly enhancing the depth and accuracy

of generated reports.

• Managed cloud deployments using Google Cloud Platform (GCP) tools, such as Cloud Storage and Cloud Run, with Docker containers.

• Collaborated effectively with the Android team, ensuring a smooth workflow.

• Elevated user experience and visual appeal through UI enhancements with Jetpack Compose in Kotlin.

• Applied deep linking within notifications to streamline user navigation.

• Implemented gRPC bidirectional streaming, seamlessly integrated with Google Pub/Sub and a Spring Boot BFF (Backend for Frontend),

achieving a remarkable 7x boost in broadcasting speed while ensuring robust stability.

• Streamlined data engineering with multiple algorithms and facilitated ML model selection for driver-selective broadcasting.