AVINASH MANNEM
**** **** **, ***** ***, Michigan 48073
Email: ******.********@*****.*** Phone: 313-***-**** (mobile) Birth Date: 09/03/1990 Marital Status: Single
Sex: Male Citizenship: India (H1 visa)
Objective: To obtain a promising position in an organization that will provide me with professional growth while being innovative, resourceful and thereby gaining practical knowledge in the field of Electrical and Electronics engineering. Skills
1. Good programming skills in Matlab (Toolbox: signal processing, Image acquisition, image processing, Communication), C, C#, Visual basic, Labview8.6, PSpice, SPSS, Microsoft office, Solidworks, CANoe, CAPL. 2. Algorithms development for DSP products, particularly in Audio/Speech/Image processing. 3. Algorithms development for communication networks. 4. Develop test procedures according to the specifications. 5. Develop automated scripts using CAPL scripts and CANoe. 6. Used SharePoint and Tortoise SVN for file repositories and DOORS for requirement management. Certifications& Trainings:
1. CAN Communications (Vector)
2. Chrysler Embedded Workshop (Vector)
3. Renesas DevCon 2015
Academic Profile
Masters in Electrical and Electronics Engineering, GPA 3.45/4 May 2013 Wayne State University, Detroit, MI
Bachelors in Electronics and communication engineering, GPA 7.3/10 May 2011 VIT University, Tamil Nadu, India
Experience
N.S International Ltd (July 2014 - Present)
Capture customer requirements for specific program by reviewing documentation and asking questions of the customer’s software and/or release team.
Analyze and document customer and NSI internal requirements, and generates high level functional specifications for all software created for NSI’s products.
Create functional test specifications to document testing performed on NSI software.
Validate all embedded software functions according to functional specifications and customer requirements.
Plan, create and maintain all software development schedules to meet customer and manufacturing milestones
Create and maintains all software open issue lists, and conducts meetings with the customers to support issue resolution.
Tracks and reports all software issues to the software design team for corrective action.
Develop and maintains system testing tools such as CANoe panels for each specific message matrix released by the customer.
Complete all PCE (man hour and function point) requests for the systems group, and prepares quotations for software changes.
Release official software to manufacturing facilities.
Provide field support to NSI’s Integration and Quality Assurance teams to identify root cause of issues.
Document customer software functionality in cases where they do not exist to define general functionality to provide fundamental interaction procedures
Interact with Customer to root cause the issues.
Perform other duties as assigned.
Aerotek.Inc
On site: General Motors, Warren, MI (June 2013- July 2014) Title: Infotainment Validation Engineer
Development and validation of electrical & software performance of the infotainment systems integrated into GM vehicles.
Diagnostics of the GMLAN, CAN, LIN and MOST networks.
Hardware configuration of Test Benches.
Automated Tool Testing for GM's Next-Generation-Infotainment (NGI)
Created and validated test procedures pertaining to the specifications designated to the infotainment systems.
Documented and reviewed issued in the ESIMS database.
Coordinating with suppliers and getting new software updates.
Validate all embedded software functions according to functional specifications and customer requirements.
Delphi World Headquarters, Troy, MI (July 2012-August 2012) Title: Summer Intern (Technology Exploration)
Technology focus: Vehicle to Vehicle/Infrastructure (V2X) communications and EV-HEV Wireless Charging.
o Developed a working level understanding on related technical issues (i.e. wireless communication and magnetic resonant wireless power transfer)
o Contributed to the write-up of one technical publication in each topic
Innovation process focus: Assisting with the Innovation & Technology Office's technology network o Processed unsolicited submissions
o Participated in meetings/demonstrations with technology innovation providers
Wayne State University, Detroit, MI (May 2012-July 2012 ) Title: Lab Assistant.
Administering and effectively managing the lab
Maintaining equipment in the lab.
Helping students in using various lab equipment.
Wayne State University, Detroit, MI (December 2011 -May 2012 ) Title: Student Assistant at School of Business Administration, Wayne State University under William John Jones
Shopping Brain: Tracking the consumer feelings using event related potentials (ERP) for promoted and non-promoted products.
Processing raw electroencephalographic (EEG) data and converting EEG data into event-related potentials
(ERP) using Neuroscan software and SPSS 18.
To provide technical support to the faculty.
Extensively used MS office tools to assist faculty with research documentation.
Internship at TICKBS Private Limited, Hyderabad, India(May 2009-July 2009)
Worked on the project "Satellite video conferencing" which was an Indian government project supervised by Mr.KMD Shakeel Safi.
Use of satellites in video conferencing.
IDL studio setup, terrestrial links used for a VSAT hub station.
Use of multicast and unicast satellite communication Academic Projects: Communications, Digital Image Processing.
Analysis of the BER performance of the robust and fast modulator mode of the eCall standard in the AWGN channel
Generate a waveform and run it through the modulator in both, robust modulator mode and fast modulator mode in an AWGN channel, compare the Bit Error Rate performance of the input wave form and the output waveform after de-modulation by comparing the bits. Plot the BER performance for both the modulator modes and compare them.
Understanding of the GSM vocoder for the 3gpp eCall using the TS 26.073 standard Record your voice on a computer in a digital file. Play the file through the speaker on the computer and hear the quality of the recording, and then run the digital voice signal through the AMR vocoder at different rates. Play the vocoder output file through the speaker, and hear the quality of the recording. Identify the difference in the sound quality for different rates and measure the signal-to-distortion power ratio of the vocoder output signal for different code rates.
Developed a transmitter and receiver for an OFDM system for video broadcasting using MATLAB Analysis of amplitude distortions happening in an orthogonal frequency division multiplexing (OFDM) signal at communication receivers. Amplitude distortion causes inter-carrier interference (ICI).We implement an algorithm to reduce the amplitude distortions in a Gaussian channel and a Typical Urban six path (TU6) channel.
Implementation of Steganography in images
The main objective of the project is to embed high number of bits i.e achieve high hiding capacity, while maintaining the perceptiveness of the image. The main motive is to improve the embedding capacity of an image that has been achieved already or previously till now which used similar methods to the one that has been made use in this project and provide an imperceptible stego-image quality simultaneously and also to introduce the randomness while embedding the data.
Development of transmitter and receiver for QPSK and OQPSK system In this project we implement quadrature phase shift keying (QPSK) and offset quadrature phase shift keying
(OQPSK) end-to-end digital transmitter/receiver. The digital transmitter in our project randomly generates binary data, which is then modulated using QPSK and OQPSK. This signal is then received by the digital receiver, which performs multiple operations to recover the transmitted signal. The focus of our project was the MATLAB implementation of the digital transmitter/receiver. In our simulations, we will incorporate distortion at the receiver to check the effectiveness of the matched filter to overcome the distortions.
Implementation of various kinds of filters for images using MATLAB In this project we compute the mean and standard deviation of an image using histogram. Reduce the number of gray levels in the power of 2. Zooming and shrinking the image using nearest neighbor and bilinear interpolation, adjust image contrast and brightness using the intensity transformation techniques. Sharpening and smoothening of an image using various kinds of filters. Reduction of noise in an image using various filters used in image processing such as Mean filters, Order Statistic filters, adaptive filters. References furnished upon request