+1-571-***-**** email@example.com www.linkedin.com/in/veenakeeranagi https://github.com/vk16sdsu Education:
San Diego State University, M.S., Electrical Engineering (Networking & Embedded Systems): Aug 2017 - Dec 2020
Courses: Embedded Operating System, Arm Cortex-M Bare-Metal Embedded C & DMA Programming, Wireless Sensor and High Speed Networks, Wireless Multimedia and Advanced multimedia Network, Database and Web Development, Machine Learning. University of Pune, Maharashtra, India, B.Eng., Instrumentation and Controls Engineering Aug 2008 - May 2012 Professional Experience :
Graduate Research Assistant SDSU: Jan 2018 - Dec 2019
Generated prototype for Optimal LoRa-GATEWAY Positioning in Linux, NS-3 C++. Enabled Data collection to aid researchers
& compute optimal minima for Gateways installation at IOT Lab while working with Prof. Christopher Paolini.
Built current stimulation system for collection and analysis of electrical neuromodulation data on a prototype board using ARM MSP430 C at SBS Lab.
Building Management Systems Engineer (3 +yrs):
System Design Engineer Johnson Controls India Ltd: Nov 2015 - Aug 2017
Exhibited leadership skills by leading the team of three members. Supported customer with trouble-shooting hardware design issues. Application System Engineer Larsen & Toubro India Ltd: May 2015 - Nov 2015
Initiated HVAC Graphics Dashboard design, testing and performed software integration to get the DDC controllers up and running. Application System Engineer Honeywell Automation India Ltd: July 2012 - May 2014
Developed Hardware HVAC design models for US/Canada projects adhering project lifecycle from design to product maintenance.
Performed unit testing, additional testing services, prepared reports with accurate documentation of test setups, conditions & results. Technical Skills :
Programming Languages: C, C++, Python, C#.
Operating System and concepts: System calls, Kernel module, Multi-threading, Real time operating systems (FreeRTOS), IPC mechanisms: sockets, message queue, shared memory, synchronization mechanisms: mutex, semaphores, MM: Paging.
Protocols: UART, I2C, SPI, TCP/IP, Bluetooth Low Energy( BLE), Stop-and-wait protocol, HTTP, LoRaWAN, LTE/5G-NR, Familiar with 802.11a/b/g/n/ac/ax, GPS, GSM, CDMA.
Software: GCC Toolchain, Git, Sublime, OpenCV, Code Composer Studio, MySQL, Eclipse, Visual Studio, MATLAB, GDB Debugger, Keil uVision5.
Intrusion Detection - OpenCV (Python) : Mar 2020 - May 2020
Implemented real time face detection using Raspberry pi camera module & OpenCV image processing. Published messages via MQTT broker on the AWS IOT Framework.
Implemented usage of AWS (SNS) to alert the user via SMS service of human intrusion. Reduction in Power Consumption- An Embedded Operating System (Python): Jan 2020 - June 2020
Analyzed impact on power, runtime and energy by using threading and multi-processing concepts by reducing the frequency and voltage to reduce the power consumption on Raspberry Pi and Arduino.
Kernel mode program was more efficient with less power consumption by 20%. DMA programming for P2M UART communication: April 2020 - June 2020
Constructed DMA driver for P2M transfer of data using UART to SRAM using interrupt mode operation.
Achieved increased efficiency and reduction in power usage as compared to polling mode operation.
Automatic testing and verification of functionalities using C-Unit testing platform. Firmware Bare-Metal Coding & GCC Build System: Aug 2018 - Oct 2018
Created UART driver and ADC conversion of onboard temperature sensor data transfer between ARM TIVA-C & console.
Built architecture independent and portable build system using Makefile along with the compile-time switches.
Achieved increased efficiency with UART FIFO Interrupt communication mode. Optimized memory usage by using circular buffer.
Developed SPI driver to communicate TIVA C (server) with raspberry pi(client) and perform control of led using PIR sensor. Bluetooth Based Home Automation using Raspberry-Pi (C & Python): Aug 2017 - Dec 2017
Devised prototype for interfacing Raspberry pi Bluetooth with android Blue Term App using RFCOMM SOCKET API.
Implemented prototype to control LED’s using IR sensor. Analyzed response time of LED on/off operation in User and Kernel mode. Achieved 40% increase in efficiency in Kernel mode.
Multithreading, Mutex were implemented to create thread processes and lock the shared hardware resource i.e. LED respectively. Parallel programming was implemented to control two LED’s simultaneously in user space.