Abhinaya Shetty

• Engineered APIs utilizing Java to validate voice assistant application functionality on Android devices.
• Implemented REST APIs and integrated third-party libraries to enhance application functionality.
• Developed automated validation processes for voice assistants using UiAutomation.
• Utilized Jenkins to automate build processes and manage CI/CD pipelines.
• Created app UI and services with Android Jetpack tools and libraries.
• Gained experience with Flutter by developing cross-platform features for operations analysis dashboard.
• Designed modules to validate various audio input types, including USB, PC, screen mirroring, broadcast, and YouTube on Android devices.

Software Engineer

• Designed and developed real-time face mask detection model using TensorFlow framework.
• Converted model to TensorFlow Lite for integration with Android app.
• Utilized pre-trained model with custom dataset, achieving high accuracy in detection.
• Investigated Android-C++ interaction for executing TFLite APIs in object detection.
• Developed Android application as Bluetooth Low Energy scanner for coupon distribution.
• Created TV application to display advertising content effectively.
• Implemented Google APIs for Bluetooth functionalities, enhancing advertiser and scanner interactions.
• Mentored two new employees on ML projects, resulting in optimized and robust models.