Mag. Nithin Kumara Narayanaswamy Teekaramanaa

1. Developed a test automation tool for HMI image processing with Python and Robot Framework that saved 32 hours of work. 2. Developed JavaScripts, VBA macros to improve the productivity of HMI testing by 16 hours. 3. Project Management tools : More than 2 years of experience working with Agile methodologies using Jira - Kanban and confluence

Topic : Network Reduction of Deep Neural Networks (DNN)s during training with Quantization. Grade : 1.0 1. Motivation : Use of Integer precision arithmetic to reduce DNN complexity and later deploy and train it on embedded devices. 2. Applications : Embedded Systems, Automotive and Medical domains - Possibility to train optimized networks on less expensive hardware on field.

Work domain : Embedded Systems 1. RF based soil moisture sensor (IoT - Embedded systems) :  Designed a empirical model to characterize a capacitive sensor probe based on the sensor data captured in different environmental conditions.  2. Audio Amplifier 360W ( Analog Electronics, Audio analysis) : Developed a test automation tool using NI's LabVIEW to perform 30 functional tests (SNR, THD, Crosstalk ...etc) with Audio analyzer. It saved approximately 50 hours of manual testing.

Machine Learning, Embedded Systems, Deep Learning, Mobile Computing, Detection and Pattern Recognition, Modelling and Simulation, Data Structures and Algorithms. Matrix computations.

Logic Design, Control System Engineering, Electric Drives, Artificial Neural Networks, Power Systems, Signals and Systems, Electrical Circuit, Microcontrollers