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.