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Prashant Shiralkar, Ph.D. Email & Phone Number

Founder | Building in Stealth at Stealth Mode Startup
Location: United States 12 work roles 3 schools
1 work email found @amazon.com LinkedIn matched
✓ Verified July 2026 4 data sources Profile completeness 100%

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Current company
Role
Founder | Building in Stealth
Location
United States

Who is Prashant Shiralkar, Ph.D.? Overview

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Prashant Shiralkar, Ph.D. is listed as Founder | Building in Stealth at Stealth Mode Startup, based in United States. AeroLeads shows a work email signal at amazon.com and a matched LinkedIn profile for Prashant Shiralkar, Ph.D..

Prashant Shiralkar, Ph.D. previously worked as Applied Science Manager at Qualtrics and Applied Science Manager / Senior Applied Scientist at Amazon. Prashant Shiralkar, Ph.D. holds Doctor Of Philosophy - Phd, Computer Science from Indiana University Bloomington.

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*@amazon.com
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Profile bio

About Prashant Shiralkar, Ph.D.

🚀 About Me:I am a seasoned applied science leader with a proven track record of over a decade in spearheading the development of cutting-edge AI/ML applications. My expertise spans a diverse spectrum of challenges in Information Retrieval, Knowledge Graphs, Fact Checking, and Natural Language Processing (NLP), showcasing proficiency in the following areas:- Information Extraction: Specializing in Named Entity Recognition (NER) and Relation Extraction (RE).- Knowledge Graphs: Skilled in Ontology/Taxonomy construction, Entity Extraction, and Entity Linkage.- Information Retrieval: Experienced in Dense embedding models, Hybrid Search, Semantic Ranking, and Search Algorithms.- Fact Checking: Proficient in leveraging Knowledge Graphs and Unstructured Text for accurate fact verification, with or without utilizing LLMs.- NLP: Expertise in Text Classification, Summarization (including surveys, conversational data, PDF documents, etc.), and Question Answering.🔍 Community Engagement:I actively contribute to various data mining and NLP communities as a reviewer and Program Committee (PC) member, engaging with esteemed organizations such as KDD, VLDB, ACL, WWW, and more.🌟 Mentorship and Education:With a passion for teaching, coaching, and mentoring, I excel in guiding both junior team members and non-technical audiences on intricate technical concepts, fostering a culture of continuous learning and growth.💼 Consulting Opportunities:I am currently open to consulting engagements for AI and data-intensive IT projects, bringing a wealth of experience and expertise to drive success in complex technological initiatives.

Listed skills include Java, Databases, Machine Learning, C++, and 26 others.

Current workplace

Prashant Shiralkar, Ph.D.'s current company

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Stealth Mode Startup
Stealth Mode Startup
Founder | Building in Stealth
United States
AeroLeads page
12 roles

Prashant Shiralkar, Ph.D. work experience

A career timeline built from the work history available for this profile.

Applied Science Manager

Provo, Ut And Seattle, Wa, Us

- Led a team of 5 scientists in the development of GenAI-powered NLP applications for the company's flagship experience management (XM) platform, utilized by over 20k customer brands.- Directed multiple AI-powered projects through collaboration with 4+ cross-functional teams, resulting in the successful launch of 5 new AI experiences within the experience management industry. - Developed prompt and fine-tuned large-language models (LLMs) for summarization of PDF reports, long-form video feedback transcripts, and question answering using retrieval-augmented generation (RAG).

Jun 2023 - Nov 2024

Applied Science Manager / Senior Applied Scientist

Seattle, Wa, Us

Founded a project to build a web-scale knowledge extraction system for retail and digital products using NLP, Graph Neural Networks (GNNs) and large language models (LLMs). Played a key role in defining research roadmap, ontology, pipeline's architecture, and ensuring data delivery to partners.- Led a team of 3 scientists on information extraction tasks for assembling a retail product graph. Defined scientific roadmap, wrote business review documents, and oversaw data delivery efforts.- Delivered millions of facts to Alexa knowledge base by extracting semi-structured data from 100+ websites across 5 languages at 95+ precision.- Hired 2 full-time scientists, mentored 3 summer interns, promoted 1 Applied Scientist to a senior role, and interviewed 100+ candidates for various tech and non-tech roles at Amazon.

Jul 2020 - Mar 2023

Applied Scientist

Seattle, Wa, Us

Designed and developed novel, scalable information extraction techniques for semi-structured, detail page oriented websites to extract structured knowledge in the form of (subject, predicate, object) triples, which was then used to assemble a large product knowledge graph for powering various downstream applications including Search, Personalization and Alexa QA.- Led the building of a web-scale knowledge extraction pipeline for constructing Alexa knowledge graph, designing and deploying a range of components: ontology development, website clustering, website filtering, information extraction, RDF data validation and filtering.- Developed domain-agnostic, closed/open information extraction techniques for semi-structured and tabular data, improving web extraction accuracy from 60% in state of the art to 90%+ to support production requirements. Used weak and self supervision for labeling and GNNs & Transformers for better modeling.

Sep 2017 - Jul 2020

Ph.D In Computer Science

Bloomington, Indiana, Us

Thesis: Computational Fact Checking by Mining Knowledge GraphsMinor: StatisticsResearch interests:- Machine Learning: supervised, unsupervised and semi-supervised approaches- Relational learning: graphical models, tensor-based methods- Social Network Analysis- Computational Fact Checking- Semantic Web modeling- Information Extraction

Aug 2012 - Sep 2017

Applied Scientist/Machine Learning Intern

Seattle, Wa, Us

Analyzed Amazon.com’s browse taxonomy and built a ML model to predict the effect of changes to the structure on consumer behavior, improving productivity of ontologists and taxonomists in foreseeing the impact of their changes well before deployment.

Jun 2016 - Aug 2016

Research Intern

Eindhoven, Noord Brabant, Nl

Design and development of search and ranking components of a product search engine.

May 2015 - Aug 2015

Summer Intern - Data Sciences Summer Institute

Champaign, Il, Us

- Successfully completed a Math foundational course and tutorials on Machine Learning and its applications in Natural Language Processing (NLP), Information Retrieval (IR), Knowledge Discovery in Social & Information Networks, and Computer Vision.- Designed and implemented a simple 'event' search engine to search for current controversial events. This project was funded by the U.S Department of Homeland Security. - Won Outstanding Project Award given by Yahoo! at the 2012 DSSI

May 2012 - Jun 2012

Programmer Analyst

The Hague, South Holland, Nl

Designed and developed batch and web applications to support IT operations of Transamerica.- Integrated an analytic tool to hedge annuity rider funds worth $22M. Led the proof of concept evaluating Spring Batch framework as a solution.- Performed ETL operations on 5M annuity policies using Spring Batch. Wrote backend code in SQL Server to report statistics of batch loads to actuaries.

Apr 2011 - May 2012

Application Developer

Iowa City, Iowa, Us

- Developed and deployed new applications for International Programs office at University of Iowa- Worked on enhancements, integration tasks, maintenance and support for existing systems used by Office of Student Life and International Programs office.

May 2010 - Mar 2011

Graduate Research Assistant

Iowa City, Iowa, Us

- Created web applications for University of Iowa's students and the Office of Student Life coordinators to facilitate on-campus activities' sign-up and tracking.- Developed an online database for University of Iowa Nursing Staff using J2EE, Stripes and Hibernate.- Provided technical support, enhancements and maintenance to different projects.

Oct 2008 - May 2010

Software Engineering Intern

Loginsofttech

Architected and developed a prototype bus e-ticketing application for the state of Gujarat, India, which offers convenience, price comparison, and ticket tracking.

Jan 2008 - May 2008
3 education records

Prashant Shiralkar, Ph.D. education

Doctor Of Philosophy - Phd, Computer Science

Indiana University Bloomington

Bachelor Of Technology (B.Tech.), Computer Science & Engineering

Nirma University

Masters, Computer Science

University Of Iowa
FAQ

Frequently asked questions about Prashant Shiralkar, Ph.D.

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What company does Prashant Shiralkar, Ph.D. work for?

Prashant Shiralkar, Ph.D. works for Stealth Mode Startup.

What is Prashant Shiralkar, Ph.D.'s role at Stealth Mode Startup?

Prashant Shiralkar, Ph.D. is listed as Founder | Building in Stealth at Stealth Mode Startup.

What is Prashant Shiralkar, Ph.D.'s email address?

AeroLeads has found 1 work email signal at @amazon.com for Prashant Shiralkar, Ph.D. at Stealth Mode Startup.

Where is Prashant Shiralkar, Ph.D. based?

Prashant Shiralkar, Ph.D. is based in United States while working with Stealth Mode Startup.

What companies has Prashant Shiralkar, Ph.D. worked for?

Prashant Shiralkar, Ph.D. has worked for Stealth Mode Startup, Qualtrics, Amazon, Indiana University Bloomington, and Philips Lighting.

How can I contact Prashant Shiralkar, Ph.D.?

You can use AeroLeads to view verified contact signals for Prashant Shiralkar, Ph.D. at Stealth Mode Startup, including work email, phone, and LinkedIn data when available.

What schools did Prashant Shiralkar, Ph.D. attend?

Prashant Shiralkar, Ph.D. holds Doctor Of Philosophy - Phd, Computer Science from Indiana University Bloomington.

What skills is Prashant Shiralkar, Ph.D. known for?

Prashant Shiralkar, Ph.D. is listed with skills including Java, Databases, Machine Learning, C++, Python, Sql, Data Mining, and Software Engineering.

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