Mudige Tarun K.

As an Lead - Embedded developer, I have been developing firmware for Aquaculture automation products. So far I have worked on ARM cortex M series and AVR microcontrollers, Arduino and Raspberrypi, Embedded Linux, RTOS, sensor integration, sensor data mining and machine learning. I have got hands on experience with the usage of tools such as keil, CubeMX, Eclipse, TensorFlow, Atmel Studio, R, Matlab and Eagle. Also got strong hold on following programming languages C, Java, Python, shell scripting and R. One of my best hobbies is Machine learning. Pursued online Machine learning course from Stanford University. I am also a certified TensorFlow developer, skilled at image classification, natural language processing and time series forecasting. I have built a DNN model with convolutions in TensorFlow to solve a binary classification problem and deployed in our product. I have also worked as an intern at National Institute of Technology, Karnataka and contributed to Elsevier publication on design and development of smart home energy management system for optimizing utilization of electrical grid power supply. You can check out my Youtube channel and Github repositories to see samples of my work. [login to view URL] [login to view URL]