Donald Jobs

No.67, Lane123 Job Road,, Job District, Shanghai, 200070

service@qiaobutang.com

(+86) 138-0013-8000

EDUCATION

Johns Hopkins University

Baltimore, MD

MSE, Electrical & Computer Engineering, (GPA 3.9)

 2014

University of Mumbai

Mumbai, India

B.E., Computer Engineering, (GPA 9.1/10, GRE 1580/1600 Quant:800/800, Verbal:780/800)

 2012

PROJECT

Multithreaded (IM)Chat Server with Peer to Peer Application:

EXPERIENCE

Technology used: C, UNIX Socket Programming.

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.

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.

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.

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.

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.

Mobile P2P networking:

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Developed P2P file sharing and chat protocols for Nokia N800 tablet PC in C.

Boggle:

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Developed a version of popular game Boggle in JAVA using MVC pattern and swing classes for GUI.

INDUSTRY

Google Inc.

Mountain View, California USA (Mentor: M. Pasca)

2012

EXPERIENCE

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.

TECHNICAL

Languages:

C/C++, Java, C#, Shell Scripting, Perl, JSP, PHP, NesC, Assembly, VHDL

SKILLS

Software Platforms:

Windows Mobile SDK, ASP.NET, J2EE, Ruby on Rails, Hadoop

Operating Systems:

TinyOS, Windows CE, Maemo, MAC OSX, Linux, Windows

Network Protocols:

TCP/IP, Ethernet, Wifi, GSM, Bluetooth, RF, Zigbee

Databases:

Oracle, MySQL, SQL Server Compact

Hardware:

MSP430, ATMega8L, ATS2313, 8085, FPGA programming