1. Sailesh Sidhwani
720 West 27th
Street #357, Los Angeles, CA 90007 | sidhwani@usc.edu | (213) 326-4738
Available from August 2016
EDUCATION:
University of Southern California (USC), Los Angeles, CA
Master of Science in Computer Science
Courses: Algorithms, Operating System, Computer Vision, Compilers, Multimedia Sys, Web Technologies
Expected: December 2016
GPA: 3.49 / 4.0
University of Pune, Pune, India
Bachelor of Engineering in Computer Engineering
Courses: Embedded Systems, DBMS, Computer Graphics, Microprocessors, System Programming
August 2014
GPA: 3.60 / 4.0
TECHNICAL SKILLS:
Programming Languages: C/C++, Java, Python
Web Technologies and Frameworks: HTML, CSS, JavaScript, jQuery, Bootstrap, PHP, REST
Technologies: Kernel Programming, Open CV, LLVM
Development Tools: Git, Android Studio, Visual Studio, IntelliJ
Operating Systems: Linux, Windows, Android
PROFESSIONAL EXPERIENCE:
DromeBox Labs, Los Angeles (Summer Developer Intern) May 2016 – August 2016
 Designed an algorithm for Foreground-Background segmentation for images including stereo images.
 Generated 3D point cloud representations of designated 3D volumes based on data collected from RGBD sensors and
Monoscopic cameras using OpenCv and Structure from Motion.
 Generated disparity maps using data from stereoscopic images to assist in building a noise free point cloud.
RESEARCH:
Vision Based Autonomous Vehicle Driving Control System (CORORES, India) May 2013 – March 2014
 Aimed at prototyping an Autonomous Vehicle for Urban environment in a cost efficient way inspired by Google Car
 Implemented OpenCV algorithms in Python to extract roads and obstacles to provide sufficient AI to the system
 Designed an Omni-directional camera to extract 3600
field of vision in a single image.
ACADEMIC PROJECTS:
Video Summarization and Image Retrieval April 2016
 Summarized and indexed a long video based on important audio and video features in the data file.
 Created temporal clusters on image data using color histograms from OpenCV 3.1.0 and audio data using windowing
threshold.
 Retrieved closest image to query image based on indexing from summarization and clustering.
 Stabilized a video by removing excessive motion of the camera to improve the video quality.
Object Classification November 2015
 Implemented an object classifier using Bag of Features (BoF) method described in paper by Csurka et el.
 Trained the CvKNearest classifier using PCA-Sift features extracted.
 Achieved accuracy of 68% was with average accuracy per class of more than 50%.
Weenix Operating System March 2015
 Process & Threads: Implementation of Kernel Processes, Threads, Mutex and a FIFO scheduler.
 Virtual File System: Developed a VFS layer that provides interface between OS and file systems.
 Virtual Memory: Implemented using anonymous and shadow pages and by handling page faults.
EBay search application March 2015
 Developed a responsive website and an Android application to search items on EBay
 Wrote a PHP script and hosted it on AWS Elastic Beanstalk which retrieved XML data using EBay’s API and returned a
JSON representation to the application.
 Users could search for items using keywords, price range, shipping costs, handling time, and condition and could share
the items on Facebook
PUBLICATIONS:
Autonomous Driving using a Vision based Approach, International Journal of Computer Applications,
Volume 92 – No.13, April 2014
CERTIFICATIONS:
Proficiency in ‘C’ and ‘C++’ Programming from All India Council for Professional Training & Research.
github.com/saileshsidhwani | linkedin.com/in/saileshsidhwani