Summary:
Results driven Biomedical Engineering graduate specializing in image processing, seeking a full time position in related field, with strong background in medical image processing and analysis of MRI,CT and ultrasound modalities with MATLAB and C++ skills
Relevant Coursework:
• Medical Imaging Analytics and Informatics
• Medical Imaging Techniques
• Time Frequency Signal Processing
• Digital Image Processing for Biomedical Applications
• Medical Imaging Instrumentation • Advanced Biomedical Image Processing
• Biological Modeling and simulation
• Signal processing in Magnetic Resonance Imaging and Spectroscopy.
• Networking and Information System in Medicine and PACS
• Digital Signal Processing
Educational Qualifications:
• Master of Science in Biomedical Engineering GPA 3.52 Tempe, Arizona
Arizona State University May 2015
• Bachelor of Engineering in Biomedical Engineering GPA 3.70 Mumbai, India
University of Mumbai May 2013
• Diploma in Medical Electronics GPA 4.00 Mumbai, India
Maharashtra State Board of Technical Education April 2010
Professional Work Experience
Summer Intern, Primary Staining Systems Integration May 2014-August 2014
Roche Tissue Diagnostics (Ventana Medical Systems),Tucson, AZ
• Developed algorithm for paired comparison analysis of hematoxylin and eosin stained tissue samples, utilizing image registration, color deconvolution and multi-level processing of large images of proprietary format similar to BigTIFF in addition standard to JPEG and TIFF images. Implemented it using MATLAB and demonstrated applicability to detailed analysis of histological images
• Collaborated with Research, Manufacturing, and other Development teams to develop image viewing and analysis applications
Academic Projects
Blur detection for digital images using wavelet transform (Matlab, OpenCV) October 2014-December 2014
• Developed and implemented an algorithm for blur detection of sample RGB image. Symlet wavelet transform was used for edge detection and image was decomposed to form a pyramid. Blur detection scheme was based on type of edges present in image.
Intelligent Scissors for Image Composition (Matlab) February 2014-April 2014
• Developed an efficient algorithm, as better alternative to standard Snakes algorithm, using Dijkstra's algorithm for graph search incorporating on the fly training and boundary cooling mechanisms which could perform live wire boundary extraction in real time on tissue structures.
Automatic Cell Segmentation of Bacterial Microscopy Images (Matlab) November 2013-December 2013
• Developed a technique for automatic bacterial cell segmentation and an algorithm for estimation of microbial cell counting.
• Motion estimation was used to predict the growth of r...
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