Prashant Shiralkar, Ph.D. Email and Phone Number
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Prashant Shiralkar, Ph.D. personal email
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🚀 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.
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Founder | Building In StealthStealth Mode StartupUnited States -
Applied Science ManagerQualtrics Jun 2023 - Nov 2024Provo, 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). -
Applied Science Manager / Senior Applied ScientistAmazon Jul 2020 - Mar 2023Seattle, Wa, UsFounded 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. -
Applied ScientistAmazon Sep 2017 - Jul 2020Seattle, Wa, UsDesigned 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. -
Ph.D In Computer ScienceIndiana University Bloomington Aug 2012 - Sep 2017Bloomington, Indiana, UsThesis: 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 -
Applied Scientist/Machine Learning InternAmazon Jun 2016 - Aug 2016Seattle, Wa, UsAnalyzed 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. -
Research InternPhilips Lighting May 2015 - Aug 2015Eindhoven, Noord Brabant, NlDesign and development of search and ranking components of a product search engine. -
Summer Intern - Data Sciences Summer InstituteUniversity Of Illinois Urbana-Champaign May 2012 - Jun 2012Champaign, 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 -
Programmer AnalystTransamerica Capital Management, Aegon Apr 2011 - May 2012The Hague, South Holland, NlDesigned 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. -
Application DeveloperUniversity Of Iowa May 2010 - Mar 2011Iowa 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. -
Graduate Research AssistantUniversity Of Iowa Oct 2008 - May 2010Iowa 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. -
Software Engineering InternLoginsofttech Jan 2008 - May 2008Architected and developed a prototype bus e-ticketing application for the state of Gujarat, India, which offers convenience, price comparison, and ticket tracking.
Prashant Shiralkar, Ph.D. Skills
Prashant Shiralkar, Ph.D. Education Details
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Indiana University BloomingtonComputer Science -
Nirma UniversityComputer Science & Engineering -
University Of IowaComputer Science
Frequently Asked Questions about Prashant Shiralkar, Ph.D.
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 the current company?
Prashant Shiralkar, Ph.D.'s current role is Founder | Building in Stealth.
What is Prashant Shiralkar, Ph.D.'s email address?
Prashant Shiralkar, Ph.D.'s email address is sh****@****ail.com
What schools did Prashant Shiralkar, Ph.D. attend?
Prashant Shiralkar, Ph.D. attended Indiana University Bloomington, Nirma University, University Of Iowa.
What skills is Prashant Shiralkar, Ph.D. known for?
Prashant Shiralkar, Ph.D. has skills like Java, Databases, Machine Learning, C++, Python, Sql, Data Mining, Software Engineering, C, Web Applications, Asp.net, Java Enterprise Edition.
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