RaviPatel Fort Erie, ON Canada

CELL E-MAIL abqq20@r.postjobfree.com

www. .me

EDUCATION

M.Sc. in Computer Science and Engineering 2011 2013

State University of New York at Buffalo, Buffalo, NY, USA

Concentration: Parallel Computing, Artificial Intelligence, and Computational Biology

B.Sc. Honours in Integrated Studies with First -Class Standing 2006 2011

Brock University, St. Catharines, Ontario, Canada

Majors: Computer Science and Neuroscience

AWARDS

IBM Master the Mainframe Contest (Part 1 and 2) Winner 2012

Brock University, Distinguished Graduate Student Award 2011

Brock University, Dean s Honours List 2008, 2009, 2011

Brock University, Scholarships 2006, 2008, 2009

SKILLS

Ada 2005 Apache C/C++ CSS COBOL Git GDB HTML Java Javascript Nginx

MATLAB MPI

Node.js NS2 Simulator OS/161 PHP REXX SQL Turing XML

EXPERIENCE

Web Development, www.funnode.com, vrlogrs.com 2010 - Current

Continuing to strengthen web developing skills while designing, programming, and managing websites that take

advantage of social websites, such as Facebook, Twitter, and OpenID, to acquire more visitors.

Parallel Algorithms, Dr. Russ Miller. Grade: A Fall, 2012

C/C++, MPI: implementing parallel versions of the Needleman-Wunsch and Smith-Waterman algorithms to

perform global and local alignments of biological sequences.

Operating Systems, Dr. Geoff Challen. Grade: A- Spring, 2012

C/C++, OS/161: implemented processes, data structures to manage processes, scheduling policies, system calls,

OS handling of TLB and page faults, and virtual memory management.

Database Systems, Dr. Jan Chomicki. Grade: A- Spring, 2012

Java: implemented (1) a framework for storing data records with indexes that use the B+ -tree data structure, and

(2) a query evaluator that uses the threshold algorithm to evaluate a subset of SQL commands using primary and

secondary indexes.

Bioinformatics and Computational Biology, Dr. Daniel Fischer. Grade: A- Spring, 2012

C/C++: implemented genetic programming to evolve a model that classified mutant p53 genes as either

transcriptionally active or inactive based on labelled data from biophysical simulations.

Computer Vision and Image Processing, Dr. Chang Wen Chen. Grade: A- Fall, 2011

MATLAB: implemented edge detection using Difference-of-Gaussian (DoG) and Laplacian-of-Gaussian (LoG), and

image segmentation using the mean shift segmentation technique.

Modern Networking Concepts, Dr. Chunming Qiao. Grade: A- Fall, 2011

C/C++, NS2: implemented a distributive leader selection protocol and a wireless Medium Access Control (MAC)

protocol for a sensor network.

Artificial Neural Networks, Mr. Earl Foxwell. Grade: A Spring, 2011

C/C++: implemented an ensemble of multilayer perceptrons to classify letters in the English alphabet.

Evolutionary Computing, Dr. Brian Ross. Grade: A Spring, 2011

C/C++: implemented genetic programs to classify wine types from raw numeric data and recognize aircrafts in

satellite photographs.

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