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Donald Jobs
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No.67, Lane123 Job Road,, Job District, Shanghai, 200070
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service@55.la
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(+86) 0592-5885308
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EDUCATION
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Johns Hopkins University
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Baltimore, MD
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MSE, Electrical & Computer Engineering, (GPA 3.9)
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2014
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University of Mumbai
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Mumbai, India
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B.E., Computer Engineering, (GPA 9.1/10, GRE 1580/1600 Quant:800/800, Verbal:780/800)
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2012
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PROJECT
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Multithreaded (IM)Chat Server with Peer to Peer Application:
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EXPERIENCE
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Technology used: C, UNIX Socket Programming.
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Reliable Multicast over UDP:
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A multicast engine, which uses Token ring protocol for reliable transfer of multicast messages between group of servers so all of them get messages in an agreed consistent order.
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JAVA Communicator:
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Developed an integrated JAVA application providing communication environment which allows user to hold conference and provide utilities such as white board, chat, presentations in PDF format.
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Blue-Fi:
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Devised and implemented a unique solution in C, enabling remote communication and management of Bluetooth enabled devices overcoming the short range limitation of Bluetooth technology.
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Vector Model for Information Retrieval:
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A vector based Information Retrieval model in PERL forranking documents on the basis of vector similarity between the two.
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Extended this project to find word sense disambiguation that occurs in different queries.
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Image Search Engine:
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Created a Vector model Based Search Engine in using Query Expansion and multiple queries input from User.
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A unique Search Engine that does not store image files but only their links. Created a web robot to crawl the internet to find these links. Technology used: PERL.
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Created a web robot to crawl the internet to find these links.
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Technology used: PERL.
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Mobile P2P networking:
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Developed P2P file sharing and chat protocols for Nokia N800 tablet PC in C.
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Boggle:
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Developed a version of popular game Boggle in JAVA using MVC pattern and swing classes for GUI.
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INDUSTRY
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Google Inc.
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Mountain View, California USA (Mentor: M. Pasca)
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2012
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EXPERIENCE
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Engineering Intern
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Contributed in developing a large-scale (using MapReduce) framework for seed-based textual information extraction of class attributes (e.g. make, model, mpg, etc. for the class of cars) from anonymized query logs.
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Contribution to the codebase was in the form of a checked-in component for computing pairwise similarities of search-signature vectors.
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Also conducted a preliminary research investigation in automatically extracting comparative statements between two entities from the en- tire web, and showed a promising direction by identifying high-quality comparativestatements via attributes extracted using the above seed-based framework.
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TECHNICAL
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Languages:
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C/C++, Java, C#, Shell Scripting, Perl, JSP, PHP, NesC, Assembly, VHDL
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SKILLS
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Software Platforms:
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Windows Mobile SDK, ASP.NET, J2EE, Ruby on Rails, Hadoop
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Operating Systems:
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TinyOS, Windows CE, Maemo, MAC OSX, Linux, Windows
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Network Protocols:
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TCP/IP, Ethernet, Wifi, GSM, Bluetooth, RF, Zigbee
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Databases:
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Oracle, MySQL, SQL Server Compact
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Hardware:
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MSP430, ATMega8L, ATS2313, 8085, FPGA programming
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