Yateesh Kumar Sharma
***A, Sri lakshmi Phone. 767-***-****
Venkateshwara, Email.yateesh.gbpec@gmail
Kundanhalalli gate, .com
bangalore- 560037
Objective
Seeking full time position in an organization that utilizes my skills and
abilities and offers professional growth while being resourceful and
innovative.
Experience
1. Organization: STMicroelectronics, Onsite for Masamb Electronic systems
Duration: March 2013-June 2013
Designation: Design Engineer (Standard Cell Layout)
Skills and Responsibilities:
. Developed Standard cell layouts for multiple technologies till 28nm
FDSOI.
. Sound knowledge of DRC, LVS, Fingering, Flipping, and related
design techniques.
. Responsible for IP packaging of standard cell libraries.
. Possess good team working spirit and enthusiasm to learn new
things.
2. Organization: STMicroelectronics, Onsite for CMR Design Automation
Duration: July 2012 - September 2012
Designation: Design Engineer
3. Organization: Vivekanand Institute of Technology & Science, Ghaziabad
Duration: August 2009 - August 2010
Designation: Lecturer
Professional Qualification
Course : Master of Technology (2010-2012)
Major : VLSI Design
Institut : National institute of Technology (NIT), Kurukshetra
e
CGPA : 8.67
Course : Bachelor of Engineering (2005-2009)
Institut : Govind Ballabh Pant Engineering College (a State govt.
e engineering college),
Pauri-Garhwal Uttarakhand.
Universi : H. N. B Garhwal University, Srinagar-Garhwal, Uttarakhand.
ty
% Marks : 72.2%
Skills and Knowledge set
Operating Systems : Linux (RedHat, Ubuntu), MS-Windows(XP/Vista/7/8)
Tools exposure : Cadence Virtuoso, Calibre (Mentor Graphics), Xilinx
ISE Design Suit, ModelSim, Design Architect IC
Hardware (Mentor graphics)
Description :
language
Verilog HDL
Achievements
Qualified GATE 2011 with 93.10 percentile (AIR-9544).
Qualified GATE 2010 with 95.10 percentile (AIR-5126).
Qualified GATE 2009 with 91.95 percentile (AIR-3397).
Related Courses
> Analog Integrated Circuits
> Digital Electronics
> Digital CMOS Integrated Circuits
> Digital System design with Verilog HDL
Academic Projects
> ECG signal classification on MATLAB.
First preprocessing of ECG signals is done to reduce the effect of noise.
Then ECG beats are separated from each other in beat detector. In feature
extraction, such information from the ECG beats is extracted so that on
the basis of that information discrimination between different types of
ECG beats can be done. Multi-layer feed-forward neural network has been
employed for classification of four types of ECG beats.
Platform: MATLAB
> Designed and simulated 8 bit Arithmetic and logic unit.
Different functional block of ALU such as adder, subtractor were first
simulated using ModelSim then these block are connect together using a
data bus.
Declaration
I hereby declare that the details mentioned above are correct to the best
of my knowledge.
Date: (YATEESH KUMAR SHARMA)