Post Job Free
Sign in

State University Electrical Engineering

Location:
Long Beach, CA
Posted:
December 03, 2017

Contact this candidate

Resume:

SALIL BHANDARKAR

562-***-**** ******@*****.***

Long Beach, CA

EDUCATION

M.S., Electrical Engineering, California State University, Long Beach (2017) CGPA 3.90

Graduated with Phi-Kappa-Phi National Honors.

Can legally work in U.S.A. on OPT. Need H1B sponsorship.

B.E., Electronics Engineering, Sardar Patel Inst. of Technology, Mumbai University (2015 CGPA 3.70

EXPERIENCE

Graduate Assistant at California State University, Long Beach June 2016- June 2017

Database Administrator for College of Engineering. Analyzed department applications and operations.

Teaching Assistant at California State University, Long Beach Jan 2016- June 2016

Reinforce Control System Lab Sessions presented by professor by reviewing with students

Engineering Intern at Theta Controls, Pune, India June 2014 - Aug 2014

Completed training period with formal training in Embedded Firmware Designing and Debugging.

COURSEWORK

Embedded Systems and Real Time Programming

Advanced Microprocessors and Embedded

Controllers

Computer Architecture

Fault-Tolerant Computing

Digital System Design

Mixed-Signal IC Design

Sensor Networks

High Speed Communication Circuits

Advanced VLSI Design

Electronic Circuit Analysis and Design

Advanced Computer Networking

Linear Integrated Circuit Design

Analog and Digital Filter Design

Control Systems

Robotics and Automation

Wireless Communication

TECHNICAL SKILLS

Languages: 1. C++, C, Java

2. Verilog, Python, NesC, Assembly 80x85, Assembly 80x86

Software: AVR, Keil, LT SPICE, MATLAB, OpenCV, PSPICE, Raspbian, SCILAB, Wireshark

MS Office: MS Office 2016 Access, Excel, PowerPoint, Publisher, Word

Operating Systems: Mac OS X, Windows 10, Tiny OS, Unix/ Redhat/ Linux

Communication Protocol Interfaces: SPI, I2C, TCP IP, Bluetooth, ZigBee, 802.3, 802.15.4

PROJECTS

Navigation System for Visually Impaired: 2017

A ‘Navigation System for Visually Impaired’ was developed using new hardware software technology Raspberry Pi processor. The coding was done in Python, with the aid of Raspbian software. Images were captured through a USB camera interfaced with the board. After applying image processing algorithms, appropriate signals were sent to the user. Also, in the event of failure, an ultrasonic distance measurement mechanism provided user with probable obstacles in his path.

Energy Minimization for Real Time Applications on Multiprocessor Platforms: 2016

We aimed to combat energy wastage problem in multiprocessor systems for real-time applications while tolerating transient faults. For the same purpose we used the checkpointing algorithm to study energy minimization problem on multiprocessors for real-time applications while tolerating K transient faults. We presented two algorithm schemes first, optimal checkpointing algorithm for minimizing worst case latency and then we present a fault tolerant task allocation scheme to achieve energy minimization.

Network Backbone Formation Using Wireless Sensor Network Communication Module 2015

Worked in a team of 3 to develop an algorithm for creating a parent child sensor network on sensor nodes. We coded an algorithm in nesC over TinyOS and implemented in MTM CM5000 MSP sensor node. The whole procedure inculcated of sending and receiving informatory packets in the form of digital signal. The project was later enhanced as a device for communication of multimedia platforms

Gesture Controlled Robotic Arm: 2014

A ‘Gesture Controlled Robotic Arm’ was developed using a wired module of 3 axis NXP accelerometer interfaced with microcontroller Atmega 32 (Member of AVR Atmel Series of microcontrollers). The accelerometer module was attached to the hand glove, whose mere motion provided the control of the robotic arm that was interfaced with the embedded system. The project gave exposure to analyze and study concepts of data acquisition, controlling motors by programming the analog values of PWM motors, communication.



Contact this candidate