Kuldeep Shah

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Kuldeep Shah
Imaging Algorithms Engineer
Experience
Imaging Algorithms Engineer at Monsanto Company
April 2014 – Present (2 years)
• Executing multiple R&D imaging projects to automate / improve high-yield, high-precision manufacturing
processes for internal customers spread across international locations and functions • Responsible
for requirement gathering, data analysis, algorithm development, validation, debugging, deployment,
documentation and support • Developing and implementing image processing, image analysis, computer
vision and machine learning algorithms which process optical and hyperspectral images • Responsible
for rapid prototyping of machine vision systems in a lab environment using imaging hardware (cameras,
lenses, illumination sources, bench tops) and image analysis software (Matlab, ImageJ, C++) • Working with
OpenSource and proprietary libraries, camera APIs, toolboxes • Ensuring robust HW/SW implementations
by performing repeatability and reproducibility (Gage R&R, Cpk) • Interfacing with software engineers for
deployments, mechanical engineers for system design/implementation • Travel to domestic locations for
customer engagement and support
Graduate Research Assistant at Rochester Institute of Technology
November 2011 – February 2014 (2 years 4 months)
Sponsor: Hewlett-Packard Company • Co – developed a fast image processing solution to correct for text/
graphic defects, color inconsistencies and improve resolution of a display • Developed C++/OpenCV code
on a proprietary display to implement MATLAB application Sponsor: Varian Semiconductor Equipment
Associates ‘Line Detection and Metrology on Textured Semiconductor Wafers’ • Developed a Matlab –
based computer vision algorithm using line integral technique to detect and measure implanted lines on
semiconductor substrates • Studied and evaluated subjective/objective image quality measurements for
CMOS image sensors
Systems QA Engineer Intern at Dolby Laboratories
June 2013 – August 2013 (3 months)
• Designed and performed system – level tests of OEM hardware to evaluate performance of audio signals
(MP3, AC3, Dolby proprietary, AAC) on traditional and Over-The-Air media consumption devices • Wrote
test plans/cases and bug reports to identify, reproduce, isolate and debug issues • Conducted subjective
listening tests with repeatable techniques for stereo and multichannel audio systems
Graduate Teaching Assistant at Rochester Institute of Technology
September 2011 – November 2012 (1 year 3 months)
Course: Random Signals and Noise
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Publications
Improved metrology of implant lines on static images of textured silicon wafers using line integral
method
Proceedings of SPIE: Electronic Imaging 2015 March 13, 2015
Authors: Kuldeep S., Eli S., Kevin V.
Proc. SPIE 9405, Image Processing: Machine Vision Applications VIII, 94050F (March 13, 2015);
doi:10.1117/12.2084525
Image enhancement for low resolution display panels
Proceedings of SPIE: Electronic Imaging 2015 January 8, 2015
Authors: Rakshit K., Eli S., Michael S., Kuldeep S.
Proc. SPIE 9395, Color Imaging XX: Displaying, Processing, Hardcopy, and Applications, 939509
Certifications
Machine Learning
Coursera December 2014
Education
Rochester Institute of Technology
Master of Science, Electrical Engineering (Signal and Image Processing), 2010 – 2014
Activities and Societies: Graduate Representative, OASIS http://www.rit.edu/sg/oasis/index.html
University of Mumbai
Bachelor of Engineering, Electronics and Telecommunication, 2006 – 2010
Skills & Expertise
Computer Vision
Image Processing
Pattern Recognition
Digital Signal Processing
Matlab
Python
C++
OpenCV
Machine Learning
Digital Image Processing
Image Quality
JIRA
LabVIEW
Statistical Data Analysis
Projects
Fusion of surveillance images in Infrared and visible band
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November 2010 to March 2011
Members:Kuldeep S.
Fused images captured in infrared and visible bands using Discrete Wavelet Packet Transform (DWPT),
thereby improving degree of visual perception, situation awareness and illustrating complementary attributes
of image pairs
Wavelet – based Audio Steganography
June 2009 to April 2010
Members:Kuldeep S., Ruchir S., Rahul M.
Employed Discrete Cosine Transform (DCT) to imperceptibly embed an audio signal in an image
Handwritten digit classification
Members:Kuldeep S.
Courses
Master of Science, Electrical Engineering (Signal
and Image Processing)
Rochester Institute of Technology
Digital Signal Processing
Digital Image Processing
Digital Video Processing
Spatial Pattern Recognition
Image Understanding
Image Compression
C++ and Program Design
Honors and Awards
RIT EE Graduate Merit Scholarship
November 2010
Alfred L. and Ruby C. Davis Scholarship @RIT
April 2012
Kilian J. and Caroline F. Schmitt Scholarship @RIT
April 2013
Languages
English
Interests
Digital Photography
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Kuldeep Shah
Imaging Algorithms Engineer
Contact Kuldeep on LinkedIn