MOHAMED RAMZY MAHFOUZ
+966-**-******* Riyadh, Saudi Arabia
+2-012*-******* Alexandria, Egypt
firstname.lastname@example.org https://linkedin.com/in/mdramzy Motivation
Software Engineer with strong academic background and solid problem solving skills. Passionate about technology and driven by data, customer satisfaction and the impact I make in people’s lives using technology. Always eager to face new challenges that can help in gaining more experience. Work Experience
Software Development Engineer - Ejada Systems Ltd Sep 2015 – present Java Developer - Egyptian Navy Aug 2012 – Apr 2015 Freelance iOS Developer - oDesk Nov 2014 – Mar 2015 Freelance Graphic Designer & Photo Editor - oDesk Mar 2011 – Sep 2014 Selected Projects
Saudi Railways Organization mobile apps & middle-ware services: o Enhancements & Support to Android & iOS mobile applications. o Middleware integration of services between frontend & backend using Oracle Service Bus. o Backend support (Java – SQL - PL/SQL)
Al-Rajhi Bank middle-ware services: Middleware integration of services using IBM Integration Bus.
Aman OBDII app (Java-Android): Detect Car faults through Bluetooth & ECU connection.
Kids Learner game (Android): Teach kids letters & puzzles using Camera and Accelerometer APIs.
Bomber Man game (J2ME): Teach kids math operations.
MySQL, Oracle, SQL, PL/SQL, Git, SVN, Maven
Oracle Service Bus, IBM Integration Bus, IBM Message Queue
Android, iOS, J2ME
Windows, Linux, Mac
Activities and Interests
Algorithms / Data Structures & Programming Contests participation : o ACM Egyptian National Contest 2009.
o Google CodeJam 2009 - 2016, Africa 2010, Africa and Arabia 2011. o TopCoder SRMs, SPOJ, UVA, and Codeforces online competitions and practice problems.
Reading and Arabic Calligraphy.
Learning from Online courses.
BSc in Computer and Systems Engineering September 2007 – July 2012 Faculty of Engineering, Alexandria University, Egypt GPA: 3.67 - Very Good with Degree of Honor Graduation Project
A web-based application (chrome extension) to provide definitions/links/videos related to a selected term in a document based on Semantic Similarity between documents.