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Mangesh Kothule | 1
Mangesh Kothule A­302, Lake bloom society,
Andheri east, Mumbai ­ 400072.
Contact no.: +917588291520.
E­mail: mangeshkothule@yahoo.com
Summary
­ Strong theoretical understanding of machine learning techniques & image processing
­ Experience on recommender systems, image processing (super­resolution, segmentation,
OCR), video codec, deep learning, postgresql, Python, Matlab, C/C++
­ Actively looking for a full­time position as an engineer/scientist
Work Experience
Associate data scientist at CredR ​(Jan 2016 ­ Present)
­ Extracting textual information from registration card images using tesseract OCR.
Worked on image pre­processing stages: image segmentation, deskewing, rotation,
deblurring, binarization. Trained the tesseract to recognising new font
­ Worked on design & implementation of item­based, user­based & user­query based
recommendation systems
­ Image segmentation for extracting the bikes from the images. Used techniques like
morphed snakes, Faster R­CNN
­ Interfaced 3G dongle with computer to fetch registration information related to bikes
using SMS. Familiar with database (PostgreSQL), SQL queries
­ Python based implementation: skimage, numpy, opencv, PIL, psycopg2, matplotlib,
serial, pytesseract
Master thesis on robust super­resolution via deep learning at Technicolor
(June 2015 ­ Dec 2015 )
­ Defined & implemented an architecture to handle both tasks of image denoising &
super­resolution (SR) together using a convolutional neural network (CNN)
­ Studied state­of­art deep learning, image denoising & image super­resolution.
Implementation of a CNN using MATLAB toolbox MatConvNet
­ Define & train a CNN to handle different type of noise. (film grain noise, Gaussian
noise, coding artefacts)
­ Proposed an extended pipeline to handle noisy image super­resolution task.
Implementation of a nonlinear network to combine noisy HR image & denoised HR
image
­ Comparison of result of with alternative SR techniques using peak signal to noise ratio
(PSNR), information fidelity criterion (IFD) & structural similarity index (SSIM)
­ Significant improvement in term of visual perception was achieved at the end of the
thesis
Student assistant at Fraunhofer­Institute ​(Oct 2014 ­ May 2015)
­ Implementation of real time video compression algorithms (C++ Development)
­ Restructuring of IIS’s low complexity video codec algorithms to modularise them &
improve the run time. Profiling the code to find the areas which need restructuring

2.
Mangesh Kothule | 2
­ 25% decrease in decoding time was achieved after restructuring
­ Testing of the algorithms with different parameter sets using Unix script & comparing
results based on PSNR
Software Engineer at Cisco Systems ​(Sep 2011 ­ Sep 2013)
­ Responsible for protocol level testing of 3GPP specifications compliance. Worked on
PDN gateway, Serving & SAE gateway
­ Gained detailed knowledge of Unix like operating system, computer network’s
architecture & telecommunication & networking protocols
­ Developed thorough understanding of LTE architecture, UMTS architecture, GSM
architecture
Education
Master of science in communications & multimedia engineering (Oct 2013 ­
Dec 2015) Friedrich Alexander­Universität Erlangen­Nürnberg (FAU)
Grade: 1.5
­ Subjects: Machine learning, Visual computing for communication, Speech & audio
signal processing, Digital signal processing, Statistical signal processing, Pattern
analysis, Image & video compression, Convex optimization
Bachelor of Engineering in Electronics & Telecommunication Engineering
(Aug 2007 ­ June 2011) Pune university
Aggregate: 72.3%
Additional Information
Technical skills:
­ Programming: C, C++, Python, Matlab.
­ MATLAB toolboxes: Digital Signal Processing, Statistics & Image Processing,
MatConvNet
­ Operating System: Windows, Linux, Mac
­ Software: Microsoft Visual Studio, Eclipse, Latex, Wireshark, Pycharm, Pgadmin
Patent, Presentation:
­ A paper on “A rating framework based on maximum criticality & multiple dimensions”
­ Patent filled for Method for single image super­resolution with noise (Filling No.
15306776.4 – 1906)
­ Presented a seminar on “Source coding with side information” at FAU Erlangen
­ Conducted sessions on “LTE architecture” & “PGW functionality” at Cisco Systems
Achievements:
­ Won a CAP award for outstanding efforts & achievements
­ Secured 2nd position in ‘Mars Manoeuvres’ a robotic competition held at Techfest, IIT
Hobbies:​ ​Playing & watching cricket & table tennis, solving Rubik’s cube