Dharmikkumar Anaghan

Background

About Dharmikkumar Anaghan

I am a passionate and dedicated professional with a strong foundation in electronics and machine learning. Over the past year, I had the privilege of interning at TES Electronics Solution GmbH in Stuttgart. where I was immersed in cutting-edge technology and projects that pushed the boundaries of innovation.During my internship, I worked on a groundbreaking project involving biosensors and radar modules. My primary focus was enhancing the Presence Detection algorithm to create a Smart Presence Detection System (SPD). This endeavour allowed me to leverage my expertise in machine learning and deep learning techniques, as I trained models to make real-time assessments of heart rate, respiration rate, and presence detection.In my current pursuit of a master's degree, I am deeply engaged in an ambitious research project centred around radar sensors and machine learning. Specifically, I am investigating methods to mitigate human body movements and interference in 24 GHz Continuous Wave radar sensors, with a focus on enhancing their accuracy in detecting vital signs such as heart rate and respiration rate. In this e, I am not only applying sophisticated signal processing techniques like filtering and noise cancellation but also actively building and training machine learning models. These models play a pivotal role in identifying and rectifying signal distortions, ensuring the utmost precision in vital sign detection.Outside of my work at TES Electronics Solution GmbH, I have also had the opportunity to delve into the world of cloud computing and AWS (Amazon Web Services). This hands-on experience allowed me to gain proficiency in deploying and managing scalable cloud infrastructure, enabling efficient data processing and storage solutions. I've had the chance to work with AWS services such as EC2, S3, and Lambda, harnessing their power to optimize workflows and enhance the performance of machine-learning models. My journey with AWS has broadened my skill set, providing me with a solid foundation in cloud technologies and their application in real-world scenarios.In my internship and thesis work, I've honed my collaboration skills in dynamic, multidisciplinary teams. This journey has enriched my skill set, deepened my electronics knowledge, and enhanced my proficiency in machine-learning technologiesI'm passionate about technology's future and keen to apply my expertise to projects that create a positive impact. Let's connect to explore collaboration opportunities and stay updated on the latest advancements in electronics and machine learning.