Prashant Sasatte profile photo 1 on Tal

Prashant Sasatte

Founder at Olelo Intelligent systems pvt ltd

India

16+ years of work experience

Microsoft
Sep 20206 yPresent

Bengaluru Area, India

Redefining customer engagement. Revolutionary Audience Intelligence Platform powered by years of research in semantic and cognitive computing helping marketers to move away from campaigns to "continuos engagement". We are currently in private beta mode.
Oct 20181 y 7 moMay 2020

Mumbai, Maharashtra

Building privacy first, secure, enterprise smart voice assistant for enterprises.
Dec 20113 yrs 3 mosFeb 2015

Bengaluru Area, India

Interior Point Analytics is researching and building next generation of personalization and recommendation technology which will revolutionize the way content is produced, published, curated, consumed, recommended and shared.
Exponential
Jun 20092 yrs 6 mosNov 2011

San Francisco Bay Area

Exponential® is a technology-enabled media services company that offers innovative online advertising products and services through its subsidiaries Tribal Fusion® (ad network), EchoTopic® (contextual advertising), LeadGenuity®(lead generation), and FullTango®(performance marketing). As a member of the core analytics team, I work on several challenging analytical problems spanning various fascinating areas such as game theory, combinatorial auctions, statistical regression and prediction, mathematical optimization, and natural language processing.
Efficient Frontier
Oct 20062 yrs 9 mosJun 2009

San Francisco Bay Area

Researched and implemented statistical models and optimization algorithms to manage multimillion dollar search engine marketing campaigns. Most of my work at Efficient Frontier was focused on building statistical models which computed reliable estimates from extremely sparse and noisy data. Designed hierarchical statistical models for estimating rates of rare events such as clickthrough rate(CTR), conversion rate at multiple resolutions in hierarchical sparse data Proposed and Implemented reliable heuristics to identify and deal with outliers in extremely sparse data Worked on NLP tools that mine semantic similarity between two keywords, two URLs, or keyword and URL

Prashant’s AI Stack

claude
claude
codex
codex
deepseek
deepseek
github copilot
github copilot
ChatGPT
ChatGPT
Microsoft Copilot
Microsoft Copilot

Education

University of Waterloo

Master of Mathematics, Computer Science

University of Waterloo

20051 yr2006
Birla Institute of Technology and Science, Pilani

B.E., computer science

Birla Institute of Technology and Science, Pilani

19994 yrs2003

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Headline

Founder at Olelo Intelligent systems pvt ltd

About

I work on Artificial Intelligence helping machines infer and interpret context from as few inputs as possible. I firmly believe that strong AI is possible only with significant improvement in our current ability to model and infer context. Most of current research is focussed on Semantic Intelligence, building sophisticated knowledge graphs and inference algorithms to figure out precise and highly granular context from content(videos, images but mostly textual). I have extensively worked on almost every problem in NLP ranging from POS tagging, chunking to word sense disambiguation, entity recognition, sentiment analysis, document classification, review mining, text summarization. Most of this work has been inducted into Cogmeta, our audience intelligence platform to be launched soon. I also seriously dabble into alternative models of computation and hardware efficient for semantic and cognitive computing. I also work on large scale machine learning algorithms specifically real time regression, classification and clustering algorithms/techniques for massive data sets. I am primarily interested in techniques that employ high degree of parallelization and randomization to obtain approximate solution in real time. Specialties: Deep learning,Behavioral Targeting, Distributed Machine Learning Algorithms, Classifiers/Regression Algorithms for Web Scale Data, Advanced NLP Algorithms (Named Entity Recognition, Sentiment Analysis, Relationship Extraction), Hadoop, NoSQL Databases (Cassandra/HBase), Cloud Computing, Recommendation Engines, Distributed Computing, Statistical Data Visualization, Neuromorphic models of computation

Location

India

AI stack

claude

codex

deepseek

github copilot

ChatGPT

Microsoft Copilot

Work experience

Group Engineering Manager at Microsoft, Sep 2020 - Present · 6 y, Bengaluru Area, India, Redefining customer engagement. Revolutionary Audience Intelligence Platform powered by years of research in semantic and cognitive computing helping marketers to move away from campaigns to "continuos engagement". We are currently in private beta mode.

Founder at Olelo Intelligent systems pvt ltd, Oct 2018 - May 2020 · 1 y 7 mo, Mumbai, Maharashtra, Building privacy first, secure, enterprise smart voice assistant for enterprises.

Founder at Interior Point Analytics, Dec 2011 - Feb 2015 · 3 yrs 3 mos, Bengaluru Area, India, Interior Point Analytics is researching and building next generation of personalization and recommendation technology which will revolutionize the way content is produced, published, curated, consumed, recommended and shared.

Principal Analytics Engineer at Exponential, Jun 2009 - Nov 2011 · 2 yrs 6 mos, San Francisco Bay Area, Exponential® is a technology-enabled media services company that offers innovative online advertising products and services through its subsidiaries Tribal Fusion® (ad network), EchoTopic® (contextual advertising), LeadGenuity®(lead generation), and FullTango®(performance marketing). As a member of the core analytics team, I work on several challenging analytical problems spanning various fascinating areas such as game theory, combinatorial auctions, statistical regression and prediction, mathematical optimization, and natural language processing.

Algorithms Engineer at Efficient Frontier, Oct 2006 - Jun 2009 · 2 yrs 9 mos, San Francisco Bay Area, Researched and implemented statistical models and optimization algorithms to manage multimillion dollar search engine marketing campaigns. Most of my work at Efficient Frontier was focused on building statistical models which computed reliable estimates from extremely sparse and noisy data. Designed hierarchical statistical models for estimating rates of rare events such as clickthrough rate(CTR), conversion rate at multiple resolutions in hierarchical sparse data Proposed and Implemented reliable heuristics to identify and deal with outliers in extremely sparse data Worked on NLP tools that mine semantic similarity between two keywords, two URLs, or keyword and URL

Education

Master of Mathematics, Computer Science, University of Waterloo

B.E., computer science, Birla Institute of Technology and Science, Pilani