Image of Jayant Kumar

Jayant Kumar

Research Intern

Senior ML Applied Scientist at Adobe | ML Track Mentor at Springboard | Author at Startup/[email protected] | Previous: Apple, Xerox PARC

San Jose, California, United States

Section title

Jayant Kumar's Email Addresses & Phone Numbers

Jayant Kumar's Work Experience

FX Palo Alto Laboratory

Research Intern

May 2011 to August 2011

Palo Alto, CA

Raytheon

Image Processing Scientist (Intern)

June 2010 to August 2010

Boston, MA

Apple

Sr. Machine Learning Engineer

November 2015 to October 2017

Cupertino

Jayant Kumar's Education

University of Maryland

MS, PhD, Computer Vision, 3.91/4.0

2008 to 2013

R. V. College of Engineering, Bangalore

Bachelor of Engineering - BE, Computer Science and Engineering

2002 to 2006

Jayant Kumar's Professional Skills Radar Chart

Based on our findings, Jayant Kumar is ...

Motivational
Methodical
Analytical

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Based on our findings, Jayant Kumar is ...

56% Left Brained
44% Right Brained

Jayant Kumar's Estimated Salary Range

About Jayant Kumar's Current Company

FX Palo Alto Laboratory

Developed an efficient method for effectively estimating the sharpness/blurriness of document and scene images. The proposed method can be used to compute the sharpness in scenarios where images are blurred due to camera-motion (or hand-shake), de-focus, or inherent properties of the imaging system. I implemented the method in C++/Java on Android platform.

Frequently Asked Questions about Jayant Kumar

What company does Jayant Kumar work for?

Jayant Kumar works for FX Palo Alto Laboratory


What is Jayant Kumar's role at FX Palo Alto Laboratory?

Jayant Kumar is Research Intern


What is Jayant Kumar's personal email address?

Jayant Kumar's personal email address is j****[email protected]


What is Jayant Kumar's business email address?

Jayant Kumar's business email address is j****[email protected]


What is Jayant Kumar's Phone Number?

Jayant Kumar's phone (213) ***-*187


What industry does Jayant Kumar work in?

Jayant Kumar works in the Research industry.


About Jayant Kumar

💼 Past Experience

Jayant Kumar's Work Experiences:Senior ML Applied Scientist at AdobeSenior Machine Learning Engineer at AppleResearch Intern at FX Palo Alto LaboratoryMentor at SpringboardAuthor at Startup/[email protected] Kumar is currently a Research Intern at FX Palo Alto Laboratory from May 2011 to August 2011 (4 months) in Palo Alto, CA. Developed an efficient method for effectively estimating the sharpness/blurriness of document and scene images. The proposed method can be used to compute the sharpness in scenarios where images are blurred due to camera-motion (or hand-shake), de-focus, or inherent properties of the imaging system.I implemented the method in C++/Java on Android platform.Image Processing Scientist (Intern) at Raytheon from June 2010 to August 2010 (3 months) in Boston, MA.I worked in the speech and language tech. lab. at Raytheon BBN technologies.Design and implemented a shape codebook based approach for discriminating handwritten and printed text regions in Arabic document images (DRR 2011).Sr. Machine Learning Engineer at Apple from November 2015 to October 2017 (2 years) in Cupertino.Individual contributor (IC4) in the Deep learning based perception team supporting autonomous technologies.Responsible for detection of two dynamic object categories. Presented my work to the SVP/Head of project.Mentor interns on their summer projects.-Deep Neural Networks (DNNs) for 2D object detection and image segmentation (Tensorflow/Python).-Facial skin quality assessment and prediction (mobile app from P&G compass project)-PARC liaison for collaboration on egocentric vision and sensing with Georgia Tech.-Collaborator on university affairs committee project on computational photography with UMD.-Co-authored 17 patent applications and 3 conference papers.Member of Research Staff 2 at PARC, a Xerox Company from October 2013 to March 2015 (1 year 6 months).-Egocentric video analysis (hand segmentation, summarization, action classification, hand gesture recognition) and multi-modal data fusion.Research Assistant at University of Maryland from August 2008 to September 2013 (5 years 2 months) in College Park, MD.- Developed novel methods for data selection of large data sets for SVM training [ICDAR11]-- Developed and demonstrated a novel approach for separating overlapping handwritten and machine-printed text in document images.Project Associate at Medical Intelligence and Language Engineering (MILE) Lab. from January 2007 to June 2008 (1 year 6 months) in Bengaluru Area, India.Project - Online Handwriting Recognition of Indian Languages(Funded by Ministry of Information Technology, India)I designed and implemented a tool using OpenCV for online handwritten data collection and automatic segmentation of handwritten data.


🎓 Education

Jayant Kumar has undertaken a Master's degree in Computer Vision from the University of Maryland in 2008 and a Doctorate in Computer Vision from the University of Maryland in 2013. Jayant has also completed a course in Mathematics, Physics and Chemistry from R. V. College of Engineering in 2002 and 2006. Jayant has played a crucial role initions of the Dept. of Computer Science and Vision at the University of Maryland contribute to nearly 20 years of research and development in this field. In 2002, he also completed a course in Experimental Robotics from the University of Maryland. Jayant has been actively engaged in research and development in this field since he obtained his B.E from R. V. College of Engineering in 2002. He has also designed, developed andvaluated a number of systems and begun their commercial testing.


💡 Technical & Interpersonal Skills

Jayant Kumar has experience in a wide range of software development projects, including parallelization of Samba on HP NonStop/VSSI, design and implementation of a scheduling algorithm for Samba, and developing the foundation of the Sensei ML framework. In addition, Jayant Kumar has experience in data selection, text-line segmentation, and online handwritten recognition, making him a valuable asset to any team working with machine learningSM.


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In a nutshell

Jayant Kumar's Personality Type

Introversion (I), Intuition (N), Thinking (T), Judging (J)

Average Tenure

1 year(s), 4 month(s)

Jayant Kumar's Willingness to Change Jobs

Unlikely

Likely

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