Resume - nior Software Engineer, Ascendum Solutions Pvt Ltd, Bangalore, India Dec 2007

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ACADEMIC QUALIFICATIONS

B. E. in Computer Science, 2004, Indian N. M. A. M. I. Technology, Nitte, Mangalore, India.
(Affiliated to AICTE approved VTU Belgaum university). N.M.A.M.I.T. is a premier institute and a center of excellence in IT setup by the NET and has ISO 9001 – 2000 CERTIFICATE – KEMA – NETHERLANDS.

D.O.B. 22nd Oct 1980

Research Interests: Machine Learning, Computer Vision, Image Processing, Real Time Object tracking and recognition
Courses taken – Aviation Research, Pattern Recognition, Artificial Intelligence, Digital Image Processing, Analysis & Design of Computer Algorithms, Computer Graphics and Distributed system.

Test Scores
MAT: 654 [ taken on November, 2005 ]

WORK EXPERIENCE

Senior Software Engineer, Ascendum Solutions Pvt Ltd, Bangalore, India Dec 2007 - Present
* Member of the ATG development team in the educational software development. Work on VC++ 7.1, 8.0, Adobe Macromedia Xtra development kit for Director, Flash ActiveX client programming in the Windows Environment.
Software Engineer, Virtual Logic System, Uttharahalli, Bangalore, India Aug 2007 – Dec 2008
* Member of the development team in the Simulation Technology in VLS. Work on VC++ 7.1, 8.0, Perl 5, Vega Prime, DI-GUY in the Windows Environment involving Network programming, Game programming, Simulation, Pattern Recognition.
CSIR Research Intern, National Aerospace Laboratories (NAL), Bangalore, India May 2006 - July 2007
* Member of the development team in the Simulation Technology of the CLAW Team in FMCD NAL. Work on C, C++, VC++, VB 7, FORTRAN, MATLAB, DCOM, RPC in the Windows Environment involving Network Programming and Systems Programming.
Project Trainee, System Domain Bangalore, India. Dec 2005 - Mar 2006
* Designed and implemented a `Web based project' as a training program. The project is a web-based application implemented in Java, J2EE, JSP, JavaScript and JDBC. It uses the Apache Tomcat and Web Logic server on Windows 2000 environment.
Assistant Software Engineer, Automation Softech Mangalore., India Nov 2004 - Dec 2005
* Member of the development team in Co-Operative banking software, a product that addresses all the major functional areas of banking database development. Work on SQL, Oracle Database. Using VB 6 as a tool.

PROJECTS UNDERTAKEN

Thomson KeyBoarding Pro and Microtype 4.2___________________________________ __ Jan 2008 - Present
Areas Involved: Xtra development for Macromedia Director, MFC, Win-32.
Software Used: Visual C++ 6.0.
Environment: Windows XP, Windows Vista.
Details: This project is educational project for increase typing skills of European and American clients, under Thomson.
1) There are separate lessons depending students grade. Separate interactive games to entertain typists. Provision for evaluate students performance and skill. Instructor utility to educate single instructor for several students at a time, 3d interactive moves to increase users posture while typing, Word Processor.
2) Front end is on Adobe Director. It uses MFC through Xtra's, we are developing Xtra to do various operations like, accessing remote server, accessing hardware and interacting OS.
3) There are provisions to access XML database and WebLogic server.
Role: Various bug fixing and Implementing Finite state machine to check sentence.

CompuTought Course Loader for Showcase Player_____________________________ __ _ Dec 2007 - Jan 2008
Areas Involved: ActiveX Programming, MFC.
Software Used: Visual C++ 6.0.
Environment: Windows XP
Details: This project is Course installer package to showcase player to Thomson KeyBoarding Pro and Microtype 4.2.
1) Courses are provided separate swf file, we have to deploy these courses to user system.
2) Flash can't access hard disk directly it should communicate with container. Appropriate flash calls are handled.
3) Also MFC extended dll is used for increase performance.
Role: Implementing MFC backend (All).

AIWTS (Advanced Infantry Weapon Training Simulator) Design and development.____ ___Sep 2007 – Dec 2007
Areas Involved: 3D game programming, Pattern Recognition, Network (Socket) Programming, Computer Vision
Software Used: Visual C++ 8.0,. NET, Vega Prime, DI-GUY (from Boston dynamics), ActiveX, Perl 5, C#.
Environment: Windows XP – On 5 machines.

Details: This project is developed for Indian Armey at MCEME (SDD) Secunderabad. To train Indian javans on different situations of Attack and slaughter technique (eg- Ambush, guerilla, QRT (Quick Reaction Team), Range Butt).
12 shooters are allowed to shoot 3 Large screens.
Javans are allowed to fire to screen where Vega or Di-Guy scene will be rendered, Where Rifle co-ordinate is analyzed by camera which is tacking Laser points (Provided by Dinalog MIL library for Image processing). Also rifle recoil is provided by external pneumatic compressor.
Shooters performance is analyzed based on Laser trajectory before and after firing. (HAT Analysis)
There is One IIS which is controlling all other systems also provides user interface for Instructor, One CGI which will do rendering and mathematical calculations based on scenario loaded on.
3 IOS systems which will gather shooter and Data and dose Image Processing work.
Role: Implementation Of bullet trajectory on different environmental conditions. Writing CGI system which will render all Vega, Di-Guy scenarios. Network establishment to IIS. Image processing work of MILL. HAT Analysis.

Surgical simulator development.___________ Aug – Sep 2007
Areas Involved: 3D game programming,
Software Used: Visual C++ 8.0,. NET, OpenGL.
Environment: Windows XP

Details: This project is developed for surgical simulator. Doctors are trained for operate virtual humans.
Various surgical instrument, Chain or string simulation is done for human skin.
Doctors performance is analyzed based on hand movement and ability to pin point problems.
Different test models and problems are given to identify persons skill.

Role: Implementation of path navigator based on Cat-mull-rom spline generation.

Flight statistics estimation using Video:________________________________________ __ Jan 2007 – Aug 2007
Areas Involved: Digital Image Processing, Pattern Recognition, Artificial Neural Networks, Computer Vision
Software Used: Visual C++ 6.0, MATLAB 7.
Environment: Windows XP

Details: This project for Intelligent system that recognize enemy plane and its roll angle, pitch, yaw and trajectory by high resolution Stereoscopic video. It is installed in UAV to detect stealth planes.

Its video frame analysis. Basically developed on model based vision. 3d template of the plane is recognized.
Video segmentation, Background elimination, Motion detection, Geometrical depth analysis, Gaussian blob and corner detection, Neural Network support for trajectory predictions, contour and planar subdivision is done.
Also heat sink and Anti-missile flares detection is done.

Multi-Processor Distributed Parallel Computing Flight Simulator Design and development Sep to Dec 2006
Research Areas: DCOM, Microsoft RPC, Win Socket, Named Pipes, OpenGL, MFC, ATL
Software Used: VC++, GLPrimer.
Environment: Windows XP, LINUX, Windows NT

Details: This is the project for upgrading old socket based simulator. In this project, a master controller that automatically controls various systems on distributed environment also manages network traffic. To get optimum data communication between systems, there is a 3 layer Neural network for load balancing.

Master controller can execute any code on Mathematical Modeler or Graphical rendering machine or from Data acquisition system using Remote Procedure Call.
Data is also transferred using named pipes or sockets. To achieve reliability if one of the machine is down then system can execute that routine on another machine dynamically.
Data is held by master controller, and has the right to do whatever code it wants to execute. Coordinating procedure is given to Controller as a fuzzy logic form or normal sequential input. RPC is mainly used in this app.
DCOM and COM is used to do server coding, and TCP/IP protocol is used to do data communication.
3D modeling and rendering is done in OpenGL on Unix Platform.
Blimp- Simulation and GUI development May – Aug 2006
Research Areas: Graphical rendering of 2D image, ActiveX and Dll development for display systems.
Software Used: VC++, FORTRAN
Environment: Windows XP

Details: In this project, an application will simulate Flying balloon artificially on computer environment. On backend Fortran mathematical model (as a dll) is providing data as a shred memory to MFC display environment. Various gadgets and 3D model of Blimp is drown on user screen. Data and functions are transferred to VB as an ActiveX control. Engine speed, altitude, roll angle, air speed and climb rate is calculated dynamically. Also Video surveillance is done by video interface.
Also has one private air-traffic control system to monitor blimp path. Whole system is controlled by joystick.

Depth analysis by lance focus Personal

Areas Involved: Digital Image Processing, Pattern Recognition, Computer Vision
Software Used: Visual C++ 6.0
Environment: Windows Vista

Details: This project is on the field of Computer Vision. Calculates depth of object by focusing camera lance.

Depth can be constructed by analyzing camera lance on different focal lengths.
Please read report present in above link.

Role: Design + Implementation.

Face Recognition Academic - Final Project

Areas Involved: Digital Image Processing, Pattern Recognition, Artificial Neural Networks, Computer Vision
Software Used: Visual C++ 6.0, VB, MATLAB.
Environment: Windows NT

Details: This project is on the field of Computer Vision. Recognizes human face in facial image from Digital camera or saved images. It will give about 65 to 70% true positive results, and has Philips SAA713X video encoder.

They have following modules, before initialization training of system is done to improve the performance.
1) 1:1 comparator: - This module tries to match two normalized images with automatic elimination of background auto reduction of noise in image, and then compared directly with database images by perception neuron. Test case shows that if the test image is perfectly fits to target image then this approach will minimizes extra unused processing power.
2) Hough transformation for circle and line: - Used in finding oval or straight lines in image to identify facial feature like geometrical location of eye, nose Head width and mouth etc. Also it is the most basic approach to find geometrical shapes in image. Performance greatly depends on amount of sharpness of the image.
3) Geometrical approach: - Here basically to find various facial points by masking method. Sliding resized window approach is added. And then comparing for max hit to real life points. Here minimum 16 facial nodal points are found and to find average template of facial feature map vector is used.
4) Skin calculation and face finding by sampling: - To eliminate inconsistency in mug shot images and get max yield of rec process here I calculate most probable skin value (RGB Red and Blue). Then on this sub domain It's compared with the average human skin color map to get candidate skin region. Best 10 matches are sent to successive elimination module. There it compared to get the human candidate face by Neural Network with pre-calculated face template weight vector as a weight matrix.
5) Template face recognition: - It is based on Eighenface template matching. Here single image weight is mapped and projected on set of 25 eigenvectors. Also we made averaging and approximation to get consistency. In projection there will be 5 matches, and then it's fed for construct new set of eighen vectors, also polling is done. It is a method needs little processing power to get result, it eliminates extra training time needed in Back Propagation method.
6) Edge detection: - It's a crucial part to segmentation and reassembly to store objects hierarchical order. It's done using sobel and canny edge detection method. The Gaussian distribution matrix and edge direction map is fed. To maintain contagious edge we use nearest neighbor pixel method.
7) Image enhancing program: - In this module image is normalized by elimination of noises, intensity inconsistency, size of image, resolution, background elimination, texture normalization etc. To meet CIE brightness, contrast and alpha normalization we use successive passes. Here we use 3rd party library to do Fourier transform.
8) Flow based recognition: - Here basically intensity flow detection, also by finding order of gradient descent. Most commonly 2nd, 3rd order intensity ramp. To get direction of intensity flow Back Tracking approach is used at random points, also it reduces extra processing needed to process entire image and works fine for consistent images.
9) Back propagation method: - It's a 4 layer and 2 hidden layer system. Training is done using delta rule, perception learning and artificial specific heat method. 2000 cycles needs to train. To improve the performance there is 2 stages of recognition. 1st stage neural network will generate patterns (like a facial fingerprint or Genetic pattern in Western blotting technique) and 2nd stage getting result by decoding these patterns.
10) Bi-Directional Associative Memory: - Use of Neural Network to store data, for a temporary time. On a real life, memories for a object recognizer is not relevant for a period of time. To store data, feed outputs of Neural network to input layer along with strobe to feed new values to NN.

Banking Management System Nov 2004 – Dec 2005
Areas Involved: Data Base (Oracle, MS Access), Weblogic 8.1, Tomcat 5
Software Used: VB6, VC++, Java, J2EE, JSP, JDBC
Environment: Windows 2000

Details: In this project is done on 2 parts.
* For Offline (Used by Banking officials): It is developed for Internal use of a bank. ADO Data control is used for database connection, and daily transaction record is maintained in private database.
* For Online applications: This application that serves the WWW clients to access the database of Co-Operative banking system. Java Data Base Connectivity is used, There are different User Modes to modify and view the contents of the database.

College Projects:
Networking though RS232 Port Nov 2003 – April 2004
Areas Involved: Low level communication like Physical Layer, Networking
Software Used: TC++ Compiler
Environment: Windows Me.

Details: An interface between the two computers was implemented in this project, thus enabling various application modules to be developed on top of it. The computer-computer interaction was built using the low level commands to directly send data to a printer port, and also using some of the handshaking signal to make synchronization.
Following system is implemented on top of this communication system.
* Transferring files between any two connected computer systems.
* Transfer of memory array. (Dump)
* Calling procedure like RPC.
* Voice Messaging, Non Real-Time (Only pre-recorded).

News group facility in LINUX Mar – Dec 2002
Areas Involved: Networking, pipes, sockets
Software Used: gcc Compiler
Environment: LINUX

Details: This is a network project written in C++. Users who are connected to LAN can register into the system. For them a separate directory is given, that directory is accessible by making socket connection to server. Same way reading and posting messages are provided. A separate file system is provided to maintain user details, user session etc. To maintain password and username encryption mechanism is provided. There are two separate server and client packages,

PUBLICATIONS
Paper published in the conference proceedings of the International Imaging sciences Inc, at Trident Hilton, New Delhi. On Jan 2005. With live project.
Title: Object Recognition in small scale systems. In this paper various case studies of image recognition and tracking methods. Including template matching, Back Propagation, Flow based method and geometrical approach.
Mainly deals with which method is more relevant for uni-processor systems.

ACHIEVEMENTS
* Live adviser of community web site. http://www.Kulal.com
* Community Software development: Thulu script writer is script writing software for the local language.
* Fine Arts: Good knowledge in fine arts. I got first class in two years course of drawing from Chithrakala Parishath Govt of Karnataka with certificate.

COMPUTER SKILLS
Languages: C/C++, JAVA, SQL, VC++, MATLAB, FORTRAN, VB6, MASM, Lex & Yacc on Linux,
Web Technologies: HTML, JSP, JavaScript, Java Applets, Dream viewer
Platforms: Windows 9x/NT/XP, Linux/UNIX
Software s: Adobe Photoshop, Microsoft Office Suite, NSIS (NullSoft Installer System),
Graphic Tools: 3D MAX, Macromedia Flash
Other: OpenGL, Win Socket, COM, DCOM, RPC, MFC, ATL

INTERESTS
Art, Painting, Oil Painting, Charcoal Art, tattoo sketching.
Photography, Classical Movie.
Yoga, Karnatik Classical Music, Flute.
Books – Scientific journals.

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