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Saswat Padhi Phones & Addresses

  • Los Angeles, CA
  • Sioux Falls, SD

Resumes

Resumes

Saswat Padhi Photo 1

Applied Scientist

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Location:
Los Angeles, CA
Industry:
Computer Software
Work:
Amazon Web Services
Applied Scientist

Microsoft Sep 2, 2018 - Mar 22, 2019
Research Intern

Ucla Jan 2015 - Aug 2018
Graduate Student Researcher

Microsoft Nov 2017 - Jun 2018
Research Software Development Engineer

Microsoft Jun 2016 - Dec 2016
Software Engineering Intern
Education:
University of California, Los Angeles 2014 - 2019
Doctorates, Doctor of Philosophy, Computer Science, Philosophy
Indian Institute of Technology, Bombay 2010 - 2014
D A V Public School, Pokhariput 2007 - 2009
D A V Public School, Pokhariput 2004 - 2007
Dav Public School,Pokhariput,Bbsr
Skills:
C++
Python
C
Java
Mysql
Javascript
Prolog
Php
Machine Learning
Matlab
Visual Basic
Scheme
Bash
Jquery
.Net
Latex
Mathematica
Html 5
Ethical Hacking
Microsoft Office
Programming
Research
Data Structures
Languages:
English
Hindi
Oriya
Sanskrit
Certifications:
Special Mention Certificate
Saswat Padhi Photo 2

Saswat Padhi

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Saswat Padhi Photo 3

Saswat Padhi

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Publications

Us Patents

Syntactic Profiling Of Alphanumeric Strings

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US Patent:
20190311004, Oct 10, 2019
Filed:
Jun 21, 2019
Appl. No.:
16/448805
Inventors:
- Redmond WA, US
Prateek JAIN - Bangalore, Karnataka, IN
Daniel Adam PERELMAN - Seattle WA, US
Saswat PADHI - Los Angeles CA, US
Oleksandr POLOZOV - Seattle WA, US
Assignee:
Microsoft Technology Licensing, LLC - Redmond WA
International Classification:
G06F 16/35
G06F 17/27
G06F 17/22
Abstract:
A computing device includes a storage machine holding instructions executable by a logic machine to generate multi-string clusters, each containing alphanumeric strings of a dataset. Further multi-string clusters are generated via iterative performance of a combination operation in which a hierarchically-superior cluster is generated from a set of multi-string clusters. The combination operation includes, for candidate pairs of multi-string clusters, generating syntactic profiles describing an alphanumeric string from each multi-string cluster of the candidate pair. For each of the candidate pairs, a cost factor is determined for at least one of its syntactic profiles. Based on the cost factors determined for the syntactic profiles, one of the candidate pairs is selected. The multi-string clusters from the selected candidate pair are combined to generate the hierarchically-superior cluster including all of the alphanumeric strings from the selected candidate pair of multi-string clusters.

Syntactic Profiling Of Alphanumeric Strings

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US Patent:
20190034437, Jan 31, 2019
Filed:
Jul 28, 2017
Appl. No.:
15/663575
Inventors:
- Redmond WA, US
Prateek JAIN - Bangalore, Karnataka, IN
Daniel Adam PERELMAN - Seattle WA, US
Saswat PADHI - Los Angeles CA, US
Oleksandr POLOZOV - Seattle WA, US
Assignee:
Microsoft Technology Licensing, LLC - Redmond WA
International Classification:
G06F 17/30
G06F 17/27
G06F 17/22
Abstract:
A computing device includes a storage machine holding instructions executable by a logic machine to generate multi-string clusters, each containing alphanumeric strings of a dataset. Further multi-string clusters are generated via iterative performance of a combination operation in which a hierarchically-superior cluster is generated from a set of multi-string clusters. The combination operation includes, for candidate pairs of multi-string clusters, generating syntactic profiles describing an alphanumeric string from each multi-string cluster of the candidate pair. For each of the candidate pairs, a cost factor is determined for at least one of its syntactic profiles. Based on the cost factors determined for the syntactic profiles, one of the candidate pairs is selected. The multi-string clusters from the selected candidate pair are combined to generate the hierarchically-superior cluster including all of the alphanumeric strings from the selected candidate pair of multi-string clusters.

Record Profiling For Dataset Sampling

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US Patent:
20180121525, May 3, 2018
Filed:
Oct 28, 2016
Appl. No.:
15/338161
Inventors:
- Redmond WA, US
Kevin David James Grealish - Seattle WA, US
Sumit Gulwani - Sammamish WA, US
Ranvijay Kumar - Sammamish WA, US
Kevin Michael Ellis - Cambridge MA, US
Saswat Padhi - Los Angeles CA, US
Assignee:
Microsoft Technology Licensing, LLC - Redmond WA
International Classification:
G06F 17/30
Abstract:
A method for generating a smaller dataset from a larger dataset, each dataset holding a plurality of records, includes profiling the larger dataset to identify a plurality of patterns, each of which is descriptive of one or more records held in the larger dataset. A plurality of slots of the smaller dataset is filled with records held in the larger dataset. Multiple records held in the larger dataset are individually retrieved, and for each retrieved record it is determined whether to place the retrieved record into a slot of the smaller dataset and evict a record already occupying that slot, or not place the retrieved record into the smaller dataset. This determination is based on a pattern of the retrieved record and a representation status of the pattern in the smaller dataset.
Saswat Padhi from Los Angeles, CA Get Report