Niveditha Vasudevan

Python scripting for development of testing framework(from scratch) with CANoe and Trace32 (Lauterbach Debugger) as COM Servers and to automate development activities.

Embedded Software Developer for Active safety projects for ECU Communication (Flexray, CAN), Driver Warning (lamp and text) logic and AES 128 Rjindael algorithm based security mechanism. Practical Exposure in Requirement analysis, Software design, coding, and Functional testing (HIL), Programming with C & ARM assembly code, Accident research (data analysis)

Implemented Numerically Controlled Oscillator (NCO) using VHDL on ProASIC3/E, FPGA board. Used two approaches to implement the NCO (look up table and cordic algorithm approach).

GPA - 1.3 Specialization in Embedded systems Main interests & Key subjects - Deep Learning, Machine Learning, Hardware Security, Machine Learning for Human-Computer Interaction Laboratory, Real-Time Programming, Distributed Systems

CGPA - 9.32/10 Undergraduate studies touched on all aspects of Electronics and Communications. Most liked subject were Embedded Systems (Microprocessors, Microcontrollers) and VLSI.