Search

Jayadev Pillai

from Bellevue, WA
Age ~70
Get Report
Related to:
Tara Pillai, 29Gouri Pillai, 64Tara Pillai
Connected to:
Ajay Pillai, 34Ajikumar N Pillai, 51Aleta A Pillai, 55Aravind Pillai, 71Archana Pillai, 45Ashok P Pillai, 63Athira PillaiDamodaran G Pillai, 61Deepti K Pillai, 43Devika Pillai, 72

Jayadev Pillai Phones & Addresses

  • 16659 57Th St, Bellevue, WA 98006 (425) 603-0414
  • 16659 57Th Pl, Bellevue, WA 98006 (425) 603-0414
  • Newcastle, WA
  • Everett, WA
  • Newcastle, WA
  • Kiona, WA
  • 1007 130Th St SW, Everett, WA 98204

Work

Company: Microsoft Oct 2017 to Oct 2018 Position: Principal applied science manager

Education

Degree: Master of Science, Masters School / High School: Tulane University Specialities: Computer Science

Skills

Software Project Management • Software Development • Agile Project Management • Enterprise Software • Software Design • Distributed Systems • Cloud Computing • Software Engineering • Scalability • Agile Methodologies • Business Intelligence • .Net • Saas • Solution Architecture • Mobile Applications • Microsoft Sql Server • Windows Azure • Project Management • Scrum • Enterprise Architecture • Political Philosophy • Program Management • Visual Studio • Technical Leadership • Soa • Data Analysis • Machine Learning • Data Science • Data Mining

Industries

Computer Software

Resumes

Resumes

Jayadev Pillai Photo 1

Jayadev Pillai

View page
Location:
Bellevue, WA
Industry:
Computer Software
Work:
Microsoft Oct 2017 - Oct 2018
Principal Applied Science Manager
Microsoft Feb 2014 - Oct 2017
Principal Data Scientist Lead and Ic
Microsoft Jun 2006 - Jun 2010
Group Program Manager
Education:
Tulane University
Master of Science, Masters, Computer Science Indian Institute of Management Ahmedabad
Master of Business Administration, Masters Indian Institute of Technology, Madras
Bachelors, Bachelor of Technology, Chemical Engineering
Skills:
Software Project Management
Software Development
Agile Project Management
Enterprise Software
Software Design
Distributed Systems
Cloud Computing
Software Engineering
Scalability
Agile Methodologies
Business Intelligence
.Net
Saas
Solution Architecture
Mobile Applications
Microsoft Sql Server
Windows Azure
Project Management
Scrum
Enterprise Architecture
Political Philosophy
Program Management
Visual Studio
Technical Leadership
Soa
Data Analysis
Machine Learning
Data Science
Data Mining

Publications

Us Patents

Metadata Driven Customization Of A Software-Implemented Business Process

View page
US Patent:
20050160060, Jul 21, 2005
Filed:
Jan 16, 2004
Appl. No.:
10/760099
Inventors:
Tanya Swartz - Seattle WA, US
Dmitry Zhiyanov - Woodinville WA, US
Girish Premchandran - Redmond WA, US
Gagan Chopra - Redmond WA, US
Arif Kureshy - Sammamish WA, US
Ahmad El Husseini - Redmond WA, US
Jayadev Pillai - Bellevue WA, US
Misha St. Lorant - Seattle WA, US
Assignee:
Microsoft Corporation - Redmond WA
International Classification:
G06F007/00
US Classification:
707001000
Abstract:
In a method of customizing a software-implemented business process on a mobile computing device, customized metadata defining customizations of the business process are provided. Next, the metadata is deployed to the mobile computing device and stored in a data store of the mobile computing device. The customizations defined by the metadata are then applied to the software-implemented business process.

Business Application Entity Subscriptions

View page
US Patent:
20050177601, Aug 11, 2005
Filed:
Jun 14, 2004
Appl. No.:
10/867496
Inventors:
Gagan Chopra - Redmond WA, US
Ahmad El Husseini - Redmond WA, US
Arif Kureshy - Sammamish WA, US
Jayadev Pillai - Bellevue WA, US
Misha St. Lorant - Seattle WA, US
Dmitry Zhiyanov - Woodinville WA, US
Dean Wierman - Seattle WA, US
Assignee:
Microsoft Corporation - Redmond WA
International Classification:
G06F007/00
US Classification:
707104100
Abstract:
In a method of customizing a software-implemented business process on a mobile computing device, subscriptions are defined to business solutions entities that are defined by metadata. Next, the entities identified by the subscriptions are uploaded to the mobile computing device.

Metadata Driven Customization Of A Software-Implemented Business Process

View page
US Patent:
20110106761, May 5, 2011
Filed:
Jan 5, 2011
Appl. No.:
12/984686
Inventors:
Tanya L. Swartz - Seattle WA, US
Dmitry V. Zhiyanov - Woodinville WA, US
Girish Premchandran - Redmond WA, US
Gagan Chopra - Redmond WA, US
Arif Kureshy - Sammamish WA, US
Ahmad Mahdi El Husseini - Redmond WA, US
Jayadev Pillai - Bellevue WA, US
Misha H. St. Lorant - Seattle WA, US
Assignee:
MICROSOFT CORPORATION - Redmond WA
International Classification:
G06F 17/30
US Classification:
707634, 707802, 707E17005, 707E17044
Abstract:
A method of facilitating customization of a software-implemented business process includes storing, within a mobile computing device, a subscription list of entities. The subscription list being defined by subscription metadata. Customized data is received. The customized data corresponds to the entities identified in the subscription list. The received customized metadata is stored on the mobile computing device.

Method And Apparatus To Detect Scripted Network Traffic

View page
US Patent:
20210400065, Dec 23, 2021
Filed:
Jun 23, 2020
Appl. No.:
16/909869
Inventors:
- Redmond WA, US
Fang TU - Shoreline WA, US
Cheng CAO - Sammamish WA, US
Jayadev PILLAI - Bellevue WA, US
International Classification:
H04L 29/06
H04L 12/26
Abstract:
A bot traffic detection system detects scripted network traffic. The bot traffic detection system may use a one-sided unsupervised machine learning technique to estimate distributions for human, non-scripted traffic (clean distributions). The clean distributions may be dynamically updated based on the latest traffic patterns. To estimate the clean distributions the bot traffic detection system may identify, for a certain subset of network traffic, feature values of the certain subset of network traffic that do not include bot traffic (clean buckets). Using clean traffic may provide more robust and stable behavior that can be tracked over time. Using the clean distributions, the bot traffic detection system may generate a rules table that indicates a likelihood that network traffic with a given combination of feature values is scripted network traffic. The bot traffic detection system may apply the rules table in real time to identify scripted network traffic.

Estimating Treatment Effect Of User Interface Changes Using A State-Space Model

View page
US Patent:
20200301805, Sep 24, 2020
Filed:
Mar 18, 2019
Appl. No.:
16/356737
Inventors:
- Redmond WA, US
Bo Hyon MOON - Seattle WA, US
Jayadev PILLAI - Bellevue WA, US
International Classification:
G06F 11/34
G06F 9/451
G06N 7/00
Abstract:
Examples described herein generally relate to a computer device including a memory, and at least one processor configured to evaluate a change to a user interface. The computer device monitor user interactions with the user interface prior to and after a change to the user interface. The monitoring includes collecting result metric data per user. The computer device divides users into a treated group and a control group based on whether each user engages in a particular interaction. The computer device generates a result metric time series for the treated group and a partitioned result metric time series for the control group. The computer device estimates a conditional distribution of the result metric and a counterfactual behavior using a Bayesian machine learning model based on the result metric time series. The computer device determines a treatment effect of the change to the user interface on the result metric data.

Data Evaluation As A Service

View page
US Patent:
20180018585, Jan 18, 2018
Filed:
May 12, 2017
Appl. No.:
15/593415
Inventors:
- Redmond WA, US
Jayadev Pillai - Bellevue WA, US
International Classification:
G06N 99/00
Abstract:
An evaluation platform receives a data set and a description of an outcome, such as predicting results of trends, recognizing patterns, and evaluating options according to specified criteria. The description is evaluated to select candidate evaluators that may be capable of achieving the outcome, and to translate the outcome into a goal for each selected candidate evaluator. The evaluator candidate set is trained using a training data set, and an initial evaluator is selected that exhibits the highest performance to achieve the outcome over the data set. The initial evaluator is applied to achieve the requested outcome over the data set. Optionally, the performance of the initial evaluator may be monitored to detect performance drift. In this event, the evaluator candidate set is reevaluated to identify a substitute evaluator exhibiting higher performance than the initial evaluator, which replaces the initial evaluator in the continued evaluation of the data set.

Metadata Driven Customization Of A Software-Implemented Business Process

View page
US Patent:
20140173453, Jun 19, 2014
Filed:
Feb 24, 2014
Appl. No.:
14/188191
Inventors:
- Redmond WA, US
Dmitry V. Zhiyanov - Woodinville WA, US
Girish Premchandran - Redmond WA, US
Gagan Chopra - Redmond WA, US
Arif Kureshy - Sammamish WA, US
Ahmad Mahdi El Husseini - Redmond WA, US
Jayadev Pillai - Bellevue WA, US
Misha H. St. Lorant - Seattle WA, US
Assignee:
Microsoft Corporation - Redmond WA
International Classification:
G06F 3/048
US Classification:
715744
Abstract:
A method of facilitating customization of a software-implemented business process includes storing, within a mobile computing device, a subscription list of entities. The subscription list is defined by subscription metadata. Customized data is received. The customized data corresponds to the entities identified in the subscription list. The received customized metadata is stored on the mobile computing device.
Control profile
Jayadev Pillai from Bellevue, WA, age ~70 Get Report