SARAVANAN MANI
Balarengapuram, Madurai-625009.
Email id: x5fd1c@r.postjobfree.com
Contact no: +91-897*******.
Objective
To Seek a position as an Engineer in a progressive company that provides opportunity for career growth and job satisfaction, as a productive team member
Education
Bachelor of Computer Science and Engineering (CGPA with 6.54) from SACS MAVMM Engineering College, 2012 pass out, Madurai.
Diploma in Computer Science and Engineering (First Class with 84.5%) from GMS MAVMM Polytechnic College, 2009 pass out, Madurai.
S.S.L.C (First Class with 62.18%) from AKNU S.Sundar Matriculation School, 2006 pass out, Madurai.
Extra-Curricular Activities
Area of Interest:
• Database Management Systems
• Linux
Technical Skills:
• Programming Languages : C, C++, Java, HTML
• Operating System : Microsoft Windows XP, Windows Vista, Windows 7, Linux
Other Qualifications:
• Completed Hardware course at KALVI institute, Madurai
• Completed RHCE Course at Winways in Madurai
Honours & Activities:
• Member of ROTRACT CLUB
• Joint Secretary in SFOSS (SACS FREE OPEN SOURCE SOFTWARE) CLUB during 2009-10
• Organized a symposium “Xalvadors 10” in the department of Computer Science and Engineering
• Participated in Debugging in the symposiums held at various colleges
Academic Projects
DISTRIBUTED NETWORK SYSTEM
Description:
Duration : Feb2009 – Mar 2009
Team Size : 6
Technologies : Software
This project works on the principles of designing using HTML. All the client side validation is done by using Java script and Client side processing are done by using JSP [Java Server page]. All server side processing are done by using Servlets and EJBs [Enterprise Java Beans]. Database MySql is used to store user and mail Details. Here session plays a major process and thus we can maintain a Session for every user and can reduce the number of databases.
COMPUTER AIDED SEGMENTATION OF HUMAN AIRWAY TREE USING SOFT COMPUTING TECHNIQUES
Description:
Duration : Jan2012 – Mar 2012
Team Size : 2
Technologies : Software
Airway diseases are frequently associated with morphological changes that may affect the physiology of the lungs. We develop a computerized scheme to automatically segment the human airway tree depicted on computed tomography (CT) DICOM images. In our proposed method, we use feature based Neural Networks (NN) for the segmentation and also uses extracted GLCM features for the thick and thin airway tree segmentation from lung by using MATLAB.
Personal Details
Date of Birth : 19 June 1990.
Gender : Male
Nationality : Indian
Father’s Name : Mr.A.Mani
Mother’s Name : Mrs.M.Maheswari
Hobbies : Sudoku
Languages : English, Tamil.
Passport Number & Date Of Expiry : K 3477199 & 15-04-2022
Marital Status : Single
Declaration:
I hereby declare that the details furnished above are true to the best of my knowledge.
Place : Madurai Signature
Date : [Saravanan Mani]