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Ramesh Sridharan

from Oakland, CA
Age ~38
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Related to:
Gautam N Srinivasan, 32Maya L Srinivasan, 28Israel M RajkumarVenkatesh Srinivasan, 61Siddharth G Sridharan, 32Nalini Srinivasan, 66Ravi S Srinivasan, 69Sridharan S Srinivasan, 67Chandrasekar Srinivasan, 64Kamala Srinivasan, 92
Connected to:
Akshay Sridharan, 35Angarai S Sridhar, 67Dasarathi Sridharan, 41Ganesan Sridhar, 71Giridharan Sridharan, 44Hemalatha Sridhar, 38Jyotsna Sridharan, 42Kalpana P Sridhar, 62Lalitha S Sridhara, 51Mukundan Sridharan, 45

Ramesh Sridharan Phones & Addresses

  • Oakland, CA
  • El Dorado Hills, CA
  • El Dorado Hls, CA

Work

Company: Mit Sep 2008 Position: Graduate student

Education

Degree: Ph.D. School / High School: Massachusetts Institute of Technology 2008 to 2013 Specialities: Electrical Engineering and Computer Science

Skills

Machine Learning • Python • Artificial Intelligence • Computer Science • Statistics • Matlab • Latex • Statistical Modeling • Teaching • Algorithms • Data Mining • R • Signal Processing • Mapreduce • Hadoop

Industries

Computer Software

Resumes

Resumes

Ramesh Sridharan Photo 1

Machine Learning Architect

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Location:
San Francisco, CA
Industry:
Computer Software
Work:
MIT since Sep 2008
Graduate Student
UC Berkeley Jun 2006 - May 2008
Graduate Student Instructor
Education:
Massachusetts Institute of Technology 2008 - 2013
Ph.D., Electrical Engineering and Computer Science University of California, Berkeley 2004 - 2008
BS, Electrical Engineering and Computer Science
Skills:
Machine Learning
Python
Artificial Intelligence
Computer Science
Statistics
Matlab
Latex
Statistical Modeling
Teaching
Algorithms
Data Mining
R
Signal Processing
Mapreduce
Hadoop

Publications

Us Patents

Identifying Versions Of A Form

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US Patent:
20200334456, Oct 22, 2020
Filed:
Jul 8, 2020
Appl. No.:
16/923441
Inventors:
- Oakland CA, US
Ramesh Sridharan - Oakland CA, US
International Classification:
G06K 9/00
G06K 9/34
G06K 9/68
G06K 9/62
Abstract:
Disclosed are a method and apparatus for identifying versions of a form. In an example, clients of a medical company fill out many forms, and many of these forms have multiple versions. The medical company operates in 10 states, and each state has a different version of a client intake form, as well as of an insurance identification form. In order to automatically extract information from a particular filled out form, it may be helpful to identify a particular form template, as well as the version of the form template, of which the filled out form is an instance. A computer system evaluates images of filled out forms, and identifies various form templates and versions of form templates based on the images.

Identifying Location Of Shreds On An Imaged Form

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US Patent:
20190205632, Jul 4, 2019
Filed:
Dec 21, 2018
Appl. No.:
16/230578
Inventors:
- Oakland CA, US
Jacob Abernethy - Oakland CA, US
Ramesh Sridharan - Oakland CA, US
International Classification:
G06K 9/00
G06T 5/00
G06T 3/40
G06K 9/38
G06T 7/70
G06T 5/50
G06K 9/46
Abstract:
Disclosed herein is a machine learning application for automatically reading filled-in forms. There are multiple steps involved in using a computer to accurately read a handwritten form. First, the system identifies the form. Second, the system identifies what parts of the form are important. Third, the important parts are extracted as image data (known as shreds). Finally, fourth, the system interprets the shreds. This application is focused on steps two and three of that overall process. The disclosed techniques relate to training a machine learning system on a given series of forms such that when provided future filled-in forms within that series, the system is able to extract the portions of the filled-in form that are important/relevant.

Identifying Versions Of A Form

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US Patent:
20180181808, Jun 28, 2018
Filed:
Dec 12, 2017
Appl. No.:
15/838905
Inventors:
- Oakland CA, US
Ramesh Sridharan - Oakland CA, US
International Classification:
G06K 9/00
G06K 9/34
G06K 9/62
G06K 9/68
Abstract:
Disclosed are a method and apparatus for identifying versions of a form. In an example, clients of a medical company fill out many forms, and many of these forms have multiple versions. The medical company operates in 10 states, and each state has a different version of a client intake form, as well as of an insurance identification form. In order to automatically extract information from a particular filled out form, it may be helpful to identify a particular form template, as well as the version of the form template, of which the filled out form is an instance. A computer system evaluates images of filled out forms, and identifies various form templates and versions of form templates based on the images.
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Ramesh Sridharan from Oakland, CA, age ~38 Get Report