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@echampion786
Flag of Pakistan Rawalpindi, Pakistan
Member since January, 2012
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echampion786 

I have post graduation degree in Software Engineering and 10 years of analysis, design and development experience in the field of MIS, Web and GIS. Time Lines: I understand the importance of time lines and truly respect them. I treat every task as my own and will never disappear. Although this can be of no compensation to my client's trust and importance of his/her work. Privacy Policy: Taking care of privacy of my clients is something which is of utmost importance to me. As a professional developer, I never give out company's confidential information and data to other client. I AM NOT RUNNING AFTER MONEY AND LOVE TO TAKE PROJECTS THAT INCREASE MY EXPOSURE. So if you have got something extraordinary to work at, I can offer you high quality work at a nominal price.
$10 USD/hr
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Experience

Senior Software Engineer

Mar 2002 - Jan 2012 (9 years)

- 9 years experience of software design/development lifecycle of diverse, enterprise level, MIS, GIS and Web applications in different organizational roles such as Technical Team Lead/System Analyst, senior software engineer. - Strong skills in Oracle Forms & Reports applications Design, Development, Integration, Deployment, Optimization and Maintenance for Financial, Real Estate, Office Applications, Healthcare and general IT services industries. - Proven expertise in all stages of SDLC for Windows,

Education

BS (Computer Sciences)

2000 - 2002 (2 years)

MS (Software Engineering)

2008 - 2010 (2 years)

Certifications

Web Programming in GIS (2011)

SUPARCO

Tools & Techniques to create web based GIS systems.

Publications

“Ranked Neuro Fuzzy Inference System (RNFIS) for Information Retrieval

Asif Nawaz and Aasia Khanam “Ranked Neuro Fuzzy Inference System (RNFIS) for Information Retrieval”. Published in 8th International Symposium on Neural Networks (ISNN-2011), Part 1 Springer LNCS series 6675 proceeding, pp. 578-584.

Neuro Fuzzy Information Retrieval

The goal of this book is to let people know about the information retrieval system. It cover the problems in this domain and reviews the solution in current space. It explains how to build the fuzzy inference system in order to score the documents in such a way that most relevant documents will get the higher score against the user's information need. Relevant documents are ranked and then fetched on the basis on these scores. This book provides an overview of fuzzy logic and explains the core c

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