BHUVANESH S

INTEL - ANDROID: Automating test cases for the Android VM platform on a Base OS across multiple hardware configurations, covering various modules using the Android validation framework and architecture. These modules include Camera, Graphics, Machine Learning, and Audio, tested across different instances of Android versions on multiple hardware platforms, such as IVI and CIV. UI Automator testing framework, an instrumentation-based API that operates with the AndroidJUnitRunner test runner. This framework provides the UiDevice class, enabling interaction with and execution of operations on the target device where the application is running. It is well-suited for writing opaque-box automated tests, ensuring comprehensive validation of Android functionalities across diverse hardware platforms.

INTEL - ESXI: Involved in networking driver development within an ESXi virtualized environment, specifically working with NIC adapters to enhance performance and functionality. My responsibilities encompassed hypervisor networking, developing and implementing new features, and addressing product defects. The role primarily focused on analyzing, developing, and debugging driver-level code, resolving issues, and improving device driver performance. Worked extensively on virtualization concepts, troubleshooting issues by reproducing them with the necessary hardware configurations, including VM creation, Distributed Switch setups, and NSX-T configurations, along with networking concepts, Dynamic Device Personalization (DDP), and TCP/UDP.

INTEL - PVC: Contributed to analyzing and automating test cases on project requirements. My responsibilities include solving fundamental logic in scripting to enhance automation testing processes. Involved in post-silicon validation on PVC cards, focusing on critical domains such as Power Management, Security, and overall performance-oriented testing. I worked on writing scripts for the automation process, debugging high-severity defects (HSD), and deploying test scripts to ensure robust performance. Development activities using Python and Linux.

Training - Shadow Project: Gained knowledge of Linux, kernel operations, and driver functionalities, along with hands-on experience in executing basic kernel-level operations using QEMU. I also developed a strong understanding of the Linux operating system, essential commands, and programming in Python and C.

Shadow project: I was involved in establishing the Shadow functionality of AWS IoT Core within a network. This implementation facilitated efficient message transmission and reception using the MQTT protocol, which optimizes code footprint on devices and reduces network bandwidth consumption. I worked on understanding the AWS IoT Core functionality within a client-server model, testing messaging protocols between terminals operating as clients and servers. Additionally, I performed network-related tasks on Linux terminals, ensuring seamless communication and validating the integrity of transmitted data across the system.