Prashant Shiralkar, Ph.D. Email & Phone Number
@amazon.com
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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.
Email format at Stealth Mode Startup
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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.
Prashant Shiralkar, Ph.D.'s current company
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Prashant Shiralkar, Ph.D. work experience
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Applied Science Manager
- 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 Scientist
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.
Applied Scientist
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.
Ph.D In Computer Science
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
Applied Scientist/Machine Learning Intern
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.
Research Intern
Design and development of search and ranking components of a product search engine.
Summer Intern - Data Sciences Summer Institute
- 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 Analyst
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.
Application Developer
- 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 Assistant
- 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 Intern
Architected 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. education
Doctor Of Philosophy - Phd, Computer Science
Bachelor Of Technology (B.Tech.), Computer Science & Engineering
Masters, Computer Science
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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