TANMAY PARASHAR

Newark CA, ***** 248-***-**** adgh9c@r.postjobfree.com adgh9c@r.postjobfree.com

Objective & Skills

Results-oriented professional with superior problem-solving and critical thinking abilities, as well as meticulous attention to detail and methodical nature. Skilled in tackling problems in unique ways to develop innovative solutions. Actively seeking a new position as an Embedded/IoT Engineer. Experienced in diverse programming languages and skills including: Programming-Languages: C-Programming ;Certificate Courses: Cisco certified network associate CCNA; Development Platforms: Arduino Uno, NXP FRDM K64, NXP S32K144, NXP S32V234, ESP-32; OM 4006 LPC 54018 IoT module using Alexa and AWS; Prior Experience: ARM (Cortex-M3, ARM7, ARM9, ARM11), PIC18F4550, Intel 8051; Communication Protocols:I2C, UART, SPI, CAN, LIN, Bluetooth, Wi-Fi; Software: Arduino IDE, MATLAB, Multisim, Proteus, Simulink, EAGLE-PCB Design SW, MBED Compiler, Eclipse; MCU Xpresso, TensorFlow; Debugging/Testing: JTAG, HIL Simulation Professional History

Embedded Software Engineer 08/2019 to 01/2020

ACTIA (Romulus, MI)

• Worked on the Hardware to Software Interface (HSI)- A document describing deployment of application software

(Embedded C for NXP ECU) based on the necessary hardware specifications and functional safety for the customer.

• Travelled to France for 1 month to complete training for the following projects to obtain a thorough understanding of the Hardware/Software architecture, fault diagnosis, functional testing and the necessary tools to deploy software, including Embedded software testing and installation for the NXP and PIC microcontrollers.

• Worked as a Resident Engineer to support the customer (VOLVO) for 2 of the on-going projects- Battery Project Management Unit (BPMU) and Trailer Body I/O Module (TBIOM).

• Performed diagnosis of Heads Up Display (HUD).

Embedded Engineer Intern (Volunteer)

01/2020 to 05/2020

Singularity AIX (Palo Alto, CA)

• Understanding of various processor and micro-controller architecture with Embedded C programming

• Managing peripherals like Ethernet, USB, SPI, I2C, Video, Audio, WiFi, Bluetooth etc. Hardware Engineer 06/2020 to 07/2020

CIMON Inc (Las Vegas, NV)

• Worked on PLC, HMI and SCADA and ladder logic/sequence programming for PLC’s

• Worked on development side of Ethernet/IP protocol which included research on Ethernet/IP libraries, specifications, and conformance testing.

• Contributed to the fundamental understanding of PLC architecture, CPU, communication modules and I/O modules and interacted with tools such as CICON and XPANEL designer for HMI. Graduate Teaching Assistant

01/2018 to 05/2019

Purdue University

TA for Digital Signal Processing and Introduction to Electrical and Electronic Circuits graduate-level courses.

• Worked on equipment such as oscilloscope, function generator, spectrum analyzer, DMM and different active/passive components.

• Conducted lab session studies which led to development of practical learning.

• Planned and implemented lessons for weekly tutoring sessions on campus.

• Target areas: Digital, analog, mixed-signal, RF and high-power circuits. Summer Intern 06/2018 to 08/2018

TACIT (Sunnyvale, CA)

• Performed responsible market research, competitive analysis, research and development on enterprise hardware and software, research on wearable operating systems and product market fit analysis. Created and optimized strategies to coordinate assignments. Conducted thorough reviews of operations to devise and deploy improvement Projects

Voice Controlled Home Automation (Spring 2018)

This system incorporates the use of an android app which is developed using MIT app inventor in which human voice is converted to machine readable text format and is sent to the FRDM-K64 controller using Bluetooth. Various applications such as light, fan, television and curtain motors can be controlled using a voice command. Vehicle Detection Using Convolution Neutral Networks (CNN) on RT-Maps (Spring 2018) The main aim of this project was to develop a trained network which will have two classifiers giving the final output as vehicle present or absent through the input images. Implemented using RT-Maps- a modular toolkit for multi-model applications supporting ADAS, autonomous vehicles, HMI and the NXP’s Blue-box- used to analyze driving environments, access risk factors and then direct the cars behavior.

NFC Based Secure Access (Spring 2018)

A prototype has been developed which is able to grant access to authorized users only. The NFC tags would be programmed and given to the authorized users. Once the tag is scanned, access would be granted to the users. The access would be denied for unauthorized users. A database of authorized and unauthorized user access is maintained on the cloud server (Thing-Speak). An application is designed to get push notifications of the tags used for access. CAN Protocol Based Temperature Monitoring (Spring 2018) This project was solely designed to check the overheating condition of engines and take necessary action if needed. The Temperature sensor will sense the temperature and send the corresponding analog values to Controller 1 (S32K144). Controller 1 converts the analog values to digital and sends it to controller 2(S32K144) using CAN bus. If received temperature values are above an optimized level, the motor shuts down indicating overheating or else it keeps running. Home Sensor System- RTOS (Fall 2018)

The system consists of a ESP-32 controller and 4 sensors namely temperature, dust, light and smoke. As a part of the software ESP-IDF and Free-RTOS have been used. Once the system is powered on it starts sensing these parameters (refresh rate-10 seconds) and stores them in a FIFO buffer. After every 30 seconds an exponential weighted average of these values is uploaded to the MQTT online server. The values can be seen on an onboard LCD display as well as the MQTT server. The system operation is Real-Time.

Drone Control Application using Amazon Alexa and AWS (Spring 2019) The project incorporates the ability to control a drone using set of Amazon services like AWS and Alexa along-with IBM cloud services. Using Alexa, AWS and IBM cloud a set of different user commands are passed on to the drone to which the drone performs the necessary action based on what the user command is. Modules used- OM 4006 LPC 54018 IoT module, FRDM-k64 board, A71CH (IBM). Weather Monitoring System Using Wi-Fi. (August 2015-May 2016) This project was solely designed to calculate the weather parameters and display them online. Wi-Fi was used as a communication protocol to establish communication. The received data was retained using MySQL database. The PCB layout/Schematic Design for this project was designed using EAGLE. (Type: ECAD/EDA, CAM) Publications: “Weather Monitoring System using Wi-Fi”, International Journal of Science and Research; Volume 5 Issue 11.

Education

Master of Science: Electrical and Computer Engineering 2019

Purdue School of Engineering and Technology

Primary Area: Communication and Signal Processing, Embedded Systems Graduated with 3.9 GPA

Bachelor of Engineering: Electronics and Telecommunication 2016

University of Pune Graduated with 3.7 GPA (First Class with Distinction)

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