MOHAMMED SHAHIN.S
Mobile Number : +971551840433
Email ID : shahincse0005 AT gmail.com
CAREER OBJECTIVE :
To be a part of an organization where continuous learning and growth is assured and fulfilling the expectations out of my knowledge, skills and experience. Aspiring to have a good career path with my interest and ability to learn and deliver the results.
ACADEMIC CREDENTIALS :
** M.E COMPUTER SCIENCE AND ENGINEERING (2017) K.N.S.K COLLEGE OF ENGINEERING, NAGERCOIL, KANYAKUMARI, TAMILNADU ANNA UNIVERSITY OF CHENNAI 75%
** B.E COMPUTER SCIENCE (2014) VINS CHRISTIAN COLLEGE OF ENGINEERING & TECHNOLOGY, NAGERCOIL, KANYAKUMARI, TAMILNADU ANNA UNIVERSITY OF CHENNAI 62%
** 12th STD (2008) S.V.V NILAYAM HIGHER SECONDARY SCHOOL, NEYYATTINKARA, TRIVANDRUM HSE 70%
** 10th STD (2006) S.V.V NILAYAM HIGHER SECONDARY SCHOOL, NEYYATTINKARA, TRIVANDRUM SSLC 75%
PROFESSIONALEXPERIENCE :
APPLICATION DEVELOPER/SOFTWARE TRAINEE (PHP) MAY2014 – AUGUST 2015 E-Vision Labs,Trivandrum (Corporate division of Softnotions Technologies Pvt. Ltd., Technopark, Trivandrum)
TECHNICAL SKILLS :
Languages : C,C++,PHP5,HTML5
Scripting : Ajax,JQuery,Javascript,CSS3
Databases : MySQL Server
Services : Microsoft XP & 2003 Server,Routing Configuration
Operating Systems : Windows,Basic SQL and Linux Productivity
Tools : Microsoft Office, ASP .Net CERTIFICATIONS
CCNA :Routing & Switching (Certification Number : CSCO12349703)
MCP PROJECTS UNDERTAKEN :
1. Image/Video Quality Assessment Algorithm.
Team Size : 3
Role in the Team : Idea Generated, developed, Team Leader.
In this project, we first propose a new Image Quality Assessment (IQA) method based on a hybrid of curvelet, wavelet, and cosine transforms, called the Hybrid No-reference (HNR) model.It has excellent performance for additional applications such as the classification of images with subtle differences, hard to detect by the human visual system, the classification of image filter types, and prediction of the noise or blur l evel of acompressed image.
2.
A Graph-Theoretical Approach For Tracing Filamentary Structures In Neuronal and Retinal Images
Team Size : 1
Role in the Team : Idea Generated, developed.
The aim of this project is about tracing filamentary structures in both neuronal and retinal images.
It is often crucial to identify single neurons in neuronal networks, or separate vessel tree structures in retinal blood vessel networks, in applications such as drug screening for neurological disorders or computer-aided diagnosis of diabetic retinopathy.
PERSONAL DETAILS :
Date of Birth :07-11-1989
Nationality : Indian
Gender : Male
Languages Known : English, Malayalam ,Tamil
Passport No : K4900547
Personal Interests : Watching Movies,Playing Console Games, Listening to Music,Gym Workouts.
Father Name : Mohammed Saleem
Email ID :shahincse0005 AT gmail.com
CO-CURRICULAR ACTIVITIES :
** Student member of Computer Society Of India, the national body representing computer professionals.
** Presented a paper titled “A Graph-Theoretical Approach For Tracing Filamentary Structures In Neuronal and Retinal Images” at International Conference(ICTCET16) in Tamizhan College of Engineering & Technology, 2016.
** Presented a paper titled “A New Image Quality Metric Using Compressive Sensing And A Filter Set Consisting Of Derivative And Gabor Filters” at National Conference (NCRTICT16) in J.P College of Engineering, Tirunelveli, 2016
DECLARATION :
I hereby declare that the details furnished above are true to the best of my knowledge and the same shall be produced on demand.
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