Seasoned and proficient SW Engineer with over 11 years of experience in the intricate realm of embedded systems. Renowned for architecting and executing sophisticated automated testing strategies tailored to the unique challenges posed by software within the embedded devices.
Currently working on an exciting silicon product that is targeted towards the Cloud Engineering and AI market.
Worked on Qualcomm Cloud AI HW Inference accelerator program in Corporate R&D aimed at various use cases like Edge/Cloud/Automotive - primarily responsible for CI/CD infrastructure, tools building and testing the platform as well as validating the ML-Applications that helps executing Onnx / Pytorch/Tensorflow/Caffe models and compiler feature sets on the cloud HW. Previously led a global SW CI/CD and test team of 4 Engineers for a tinyML capable SoC. Designed and implemented an idea of managing two version control tools at the same time thereby saving huge licensing cost. Also, worked on Software subsystem integration and verification for an LEO satellite communication system, primarily involved in pre-integration and test automation using Perl and Python by contributing to existing framework as well as developing stand-alone automation tools. Prior to that, I've worked around 17 months extensively on LTE, UMTS and GSM - UE Protocol Stack Verification & Validation activities in headquarters of Samsung Device Solutions Research group, South Korea.
Python (Programming Language)
Test Automation
Debugging
Continuous Integration and Continuous Delivery (CI/CD)
Jenkins pipeline
Release Management
Dockers and Containers
Verification and Validation (V&V)
Test framework development
SDLC
Embedded systems
Machine learning