SRIDHARI

Network Engineer

ac2g5m@r.postjobfree.com 814-***-****

Summary:

Over 3 + Years of experience as a Networking Engineer with Good Experience on all protocols and their architecture and also software and hardware design.

Strong Experience on TCP/IP Protocols,VLAN,MAN,PAN,WAN and their architecture.

Strong Experience in Design, Analysis, project coordination and testing.

Familiar with MATLAB/Simulink, AutoCAD,LABVIEW and SPICE complaint development process.

Possess strong knowledge on LINUX,Switches/ CISCO Routers,WINDOWS and exposed to work in a user supported service-oriented environment.

Knowledge on semiconductor device operation-Diodes,BJT,CMOS,FET,PCB Design.

Self-motivated, initiative, flexible and ability to solve the problems efficiently.

Good at Analysis, Designing, Programming, Implementation and Testing techniques

Worked with more than two projects with project team leader.

Technical skills:

Lab software:

AutoCAD, IC compiler, voltmeters, Ammeters, Multimeters, Oscilloscopes

Programming Languages:

C, C++, Java,HTML5, Cloud Computing, LABVIEW

Operating Systems:

Microsoft Windows operating systems from MS-DOS to Windows10, Macintosh OSX.

Hardware & Technology Used

MATLAB/Simulink,PSPICE, AUTOCAD, Verilog/VHDL, Modelsim, Multisim, Lab VIEW, Microsoft Office suit, PLC Ladder Logic, Image Processing.

Knowledge of Cisco routers (3900,3800,3600, 2900,2800, 2600, 2500, 1800 series)

Knowledge of Networking Protocols: RIP, OSPF, EIGRP, BGP, RSTP, STP,VLANs,VAN,PAN, VTP, CGSR, HSRP, VRRP,DSDV,OLSR,.

Relevant Courses

Networking-1, Digital Signal Processing-1, Digital Signal Processing-2, Wireless Communications, Wireless Networks, Digital Image Processing, Digital Communications-1, Nano electronics, VLSI Design, Random Signal Analysis, Embedded Systems, Discrete and Continuous Systems, Digital Systems.

Education:

Master of Science in Electronics and communication engineering From University of New Haven, USA

Bachelors of Science Electronics and communication engineering From JNTU, INDIA

Project Experience:

JPEG-2000 Image Compression: May 2016 - July 2016 Compression of an image with high quality and bitrate using discrete wavelet transform.

This model is simulated using MATLAB.

Decoding an audio message from a noisy message signal using Filters and Window

Used digital filters and windowing technique to remove the noise in a signal to decode the message form given noise signal.

Programmed using Matlab program to design Filters and Windowing techniques to decode the noise signal

Decoding an audio message from a noisy message signal using Filters and Windowing Technique Jan 2015 - April 2015

Used digital filters and windowing technique to remove the noise in a signal to decode themessage form given noise signal.

Programmed using Matlab program to design Filters and Windowing techniques to decode the noise signal.

Binary channel with Guassian Noise:

The project is about to simulate simple binary communication channel, which is corrupted by Gaussian noise.

Programmed using MATLAB program by using different filters.

Professional Summary:

Client: VERITAS technologies

Role: Network Engineer

Responsibilities:

Extremely knowledgeable of Cisco networks as well as their installation and maintenance.

Understanding of multiple operating systems.

Proficient in computer hardware and software.

Problem solving skills needed to troubleshoot and repair network issues.

Setup Cisco Entercept IDS and Cisco Works for Windows for network monitoring.

Migration of WAN links to new service provider, designed full mesh WAN, set up TFTP server to backup, and restored configuration and IOS image files for the PIX, Cisco routers, and Catalyst switches.

Analyzed expanding network, ran fiber, and implemented wireless communication.

Designed configuration and layout of WAN to include IPT Internet facing VPNs and wireless subnet.

Design, simulate, testing in terms of Mean Square Error (MSE) and Peak Signal to noise ratio (PSNR).

Registering and combining multiple images from single or multiple imaging modalities

Improve imaging quality and reduce randomness and redundancy.

Increasing clinical ability of medical images.

Decompose input images into coarse and detailed layers in MLE scheme

Study of MSE and PSNR when CT scan and MRI scan images are fused under noisy and environment and no noise environment.

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