Ing. Shyamnarayan Sankarasubramanian M.Sc.

* Software development in Embedded C for BMS(Battery Management Systems), DC-DC converter and OBC(On board charger) * Designed and developed state machines * Used communication protocols like CAN/CAN FD, Ethernet, UART *Designed dashboards in CANOE * Software development in Embedded C for BMS(Battery Management Systems), DC-DC converter and OBC(On board charger) * Designed and developed state machines * Used communication protocols like CAN/CAN FD, Ethernet, UART * Designed virtual test bench using CANOE

- Python based Web Application development to automate SiL Test Algorithms. - Checking CAN Messages in the Virtual ECU Environment - Tools: Jupyter, Bus Master - Libraries: Python Flask, CNTLM Proxy server configuration - Programming Language: Python, HTML

- Topic: Voxel-wise Classification of MRI Artifacts using Convolution Neural Network from raw MRI K-space data - Aim: The aim of this work is for automatic quality assessment of MRI images so as to reduce the manual diagnostic efforts. - Dataset used: Patient MRI data of Head, Abdomen and Chest(Data is subjected to data protection policy) from University of Tuebingen Klinikum - Programming language: Python, Matlab - Tools: Pycharm, Matlab, Git, Latex, MS Office (Word, Powerpoint)

- Title: Predicting Visual search targets based on eye movements - Hardware: Mobile Eye Tracker from Pupil Labs - Software Tools: Jupyter, Latex, MS Office (Word, Excel and Power point) - Programming Language: Python - Dataset: Collected datasets from Participants(18~) using Mobile eye tracker - Transfer Learning using ResNet-50, DNN - Machine Learning/Deep Learning models deployed: Regression, SVM, DNN

- Handled Algorithmic Software Changes for Driver Brake Request (DBR) function. - Programming: C language - Handled Requirements Review, Code Review, Software Design Review and Software Test case Review according to ASPICE standards. - Implemented Monte Carlo Analysis for Driver Brake Request Function in Matlab/Simulink to understand the tolerance impact of Brake circuit elements. - Tools: Matlab, DOORS, ASCET, ALM, MS Office (Word, PowerPoint, Excel) - Standards: ASPICE

- Worked in software development for ADAS and ESP value added functions. - Function owner for Automatic Warning Brake function in Bosch. - Programming: Embedded C in ASCET and Matlab - Knowledge in ASPICE, ISO26262 and UML Architecture diagrams. - Responsibilities: ASPICE Component test expert in Bosch India - Testing: Unit testing, Component testing, Integration testing and Labcar Testing - Knowhow in CAN and CAN tools(CANAlayzer and CANope)

- Worked on the project titled, “Correlation of Satellite Signals to Health Monitor Antenna Arrays” - Developed signal processing algorithm - Programming tool: LabVIEW - OS environment: Linux

Embeeded Systems, Deep Learning, Industrial Automation Systems, Detection and Pattern Recognition, Software Engineering for Real Time Systems and Machine Learning

C, C++ Programming, Analog Electronics, Digital Electronics, Digital Signal Processing