Malvika Badrinarayanan

Teaching assistant for AST309G- Popular Astronomy (Fall 2022) & AST301- Introduction to Astronomy (Spring 2023)

1) Created a testbench to run functional tests on the functional model of the ray tracing accelerator of NVIDIA's next generation GPUs. Helped in accelerating architectural test development and validation 2) Performed a scalable microarchitectural modification in the timing simulator of the ray tracing accelerator and evaluated it's performance benefits

Teaching Assistant for AST301- Introduction to Astronomy

Projects: 1) TI AutoRadar System Validation (On contract at Texas Instruments, Bengaluru) * Worked in the Auto Radar System Validation Team of Texas Instruments to validate functionalities of Automotive and Industrial Standard mmwave Radar Chips manufactured by TI, at a system level. 2) KLA 7xx Video Server * Worked on creating a server-client infrastructure for a semiconductor wafer inspection system for KLA, Milpitas, CA * Implemented using Actor Framework in NI LabVIEW and NI Vision, to aid parallel execution of large number of modules demanded by the visual inspection system 3) ADI Zero Code GUI * Worked on developing a post processing tool for Power Supply Sequencing Test for DUTs with multiple power rails in Analog Devices AZCG test framework using NI LabVIEW. * Also assisted in developing the NI TestStand sequence for the Power Supply Sequencing test. Training: * Two month training in NI LabVIEW and NI TestStand * Underwent brief training on Embedded Systems with special focus on Cortex- M4 architecture, Communication Protocols, FreeRTOS with a hands-on experience in developing code on TI's MSP430 Launchpad kit * Underwent brief training on PXIs, CRIOs and FlexRIOs with a hands-on experience on using LabVIEW FPGA to program NI FlexRIOs

* Worked in the Auto Radar System Validation team to validate TI's Automotive Radar Chip Embedded System * Responsible for: 1) Writing automation tests to communicate with the Radar Chip in an RF setup and using a wide variety of instruments like Spectrum Analyzer, Scope, Power Meter, etc to efficiently test various functionalities of the chip at a system level 2) Collection and interpretation of data to locate issues in the firmware and framework. * Obtained an overall understanding of the system architecture along with several signal processing concepts involved in an Auto Radar System. * Worked with TI's First and Second Gen Automotive and Industrial Radar Devices during this period Skills used: Automation Test Scripting using Lua, MATLAB, Python, LabVIEW and TIBCO Spotfire.

* Worked on designing a prototype for a Smart Rifle Scope for an intra company wide competition for interns * Worked on understanding Object Detection and Tracking algorithms and implemented the same in the prototype to efficiently fix a target location based on Rifleman's rule * Tools and hardware used: Raspberry PI with Python and C++ * Secured 3rd place Skills used: Image and Video Processing using Python and C++ on Raspberry PI platform

* Explored on Orthogonal Frequency Division Multiplexing concepts * Designed and implemented a model of an LTE transceiver system * Worked on PRACH implementation for 5G on MATLAB

Specialization in Architecture, Computer Systems and Embedded Systems Coursework: 1) Computer Architecture (F21) 2) SoC (System-on-a-chip) design (F21) 3) High Speed Computer Arithmetic (F21) 4) Operating Systems (S22) 5) Advance Embedded MCU systems (S22) 6) Parallel Computing for Science and Engineering (S22) 7) Data Science Laboratory (F22) 8) Parallel Computer Architecture (F22) 9) Computer Architecture: Parallelism and Locality (S23) 10) Blockchain solutions development and smart contracts (S23) 11) Elements of Music (S23)

Department Rank: 2/118