About

Nithin HS is a Senior Technical QA Lead at Nokia with over 15 years of relevant experience. He is currently working as a QA engineer for the IOT product IMPACT in Nokia. Nithin's current role involves working on testing the data science model built using Convolutional Neural Network algorithm like TensorFlow, yolov5, SSD. He has also worked to automate the use case related to the data science for image verification after object detection. Nithin has provided numerous feedback on the bad accuracy and good accuracy, and hence made a quality product to be delivered to the customer. Nithin's past experience includes working as a Senior QA Lead at Nokia where he worked on the OMA DM device onboarding. He was responsible for requirement understanding and coming up with use cases for the IOT devices [LWM2M]. He also automated the API used for the IOT devices. He has also worked as a Senior Consultant at Test Yantra Software Solutions where he tested end-to-end features. Nithin has a post-graduation program on machine learning and artificial intelligence from GLIM and a Bachelor of Engineering (BE) in Telecommunications Engineering from PES. His tech stack includes QA, Data Scientist, Object detection, Object Detection, test, TensorFlow, and Neural Networks. Currently, Nithin is working as an ISTQB Trainer at qspiders - software testing training institute. In this role, he is working on testing the data science model built using Convolutional Neural Network algorithm like TensorFlow, yolov5, SSD. He is also responsible for automating the use case related to the data science for image verification after object detection. He has provided numerous feedback on the bad accuracy and good accuracy, and hence made a quality product to be delivered to the customer. Nithin's expertise in QA and data science makes him a valuable asset to any organization.