A

Avin Sijariya

CTO

Santa Clara, California, United States18 yrs 9 mos experience
Most Likely To SwitchAI Enabled

Key Highlights

  • Expert in delivering AI-powered solutions at enterprise scale.
  • Proven track record in mentoring and team building.
  • Innovative leader in Agentic AI and automation technologies.
Stackforce AI infers this person is a SaaS expert specializing in AI-driven search and conversational technologies.

Contact

Skills

Core Skills

Agentic AiSearch TechnologiesSearch SolutionsSearch Engine Development

Other Skills

RAG solutionsSearchVirtual AgentKPI measurement strategiesGovernanceInnovationTeam recruitmentExecution at Enterprise scaleOntologyInformation ExtractionPersonalized SearchMentoringBest PracticesScalable SearchTeam Building

About

Highlights:: ------------------ - Delivering Agentic AI and RAG solutions for Customer support, Employee experience(HR, Sales, IT, Finance, Legal), and Go To Market Verticals - Applied AI Leader delivering Search, Virtual Agent(Bot),Agentic AI, and RAG-Based Solutions. - Expertise in defining data and KPI measurement strategies in rapidly evolving Agentic landscape. - Speaker at ServiceNow Knowledge events and world forums. Driving Adoption and Value realization for customers - Responsible for Governance around AI Projects - Leading innovations around Agentic AI and automation - Responsible for recruiting and ramping up teams to deliver success. - Responsible for setting up vision and driving execution at Enterprise scale. - Patents and Publications around Ontology, Information Extraction, and Personalized Search. - Mentoring teams to continuously upskill and innovate Expertise:: --------------- - Agentic and RAG based solutions - Search & Conversational Technologies (Knowledge graph, Vector db, Solr, ElasticSearch ) - Large-scale Taxonomy/Ontology powered intelligence building system - Agentic AI-powered digital assistant - Data Integration and large scale modeling systems - LLM based eval frameworks - BI Tools like PowerBI, Tableau etc.

Experience

Servicenow

2 roles

Principal AI Architect

Promoted

Aug 2022Present · 3 yrs 7 mos · On-site

  • Highlight
  • Delivering Agentic AI and RAG solutions for Customer support, Employee experience(HR, Sales, IT, Finance, Legal), and Go To Market Verticals
  • Applied AI Leader delivering Search, Virtual Agent(Bot),Agentic AI, and RAG-Based Solutions.
  • Expertise in defining data and KPI measurement strategies in rapidly evolving Agentic landscape.
  • Speaker at ServiceNow Knowledge events and world forums. Driving Adoption and Value realization for customers
  • Responsible for Governance around AI Projects
  • Leading innovations around Agentic AI and automation
  • Responsible for recruiting and ramping up teams to deliver success.
  • Responsible for setting up vision and driving execution at Enterprise scale.
  • Patents and Publications around Ontology, Information Extraction, and Personalized Search.
  • Mentoring teams to continuously upskill and innovate
  • Expertise::
  • Agentic and RAG based solutions
  • Search & Conversational Technologies (Knowledge graph, Vector db, Solr, ElasticSearch )
  • Large-scale Taxonomy/Ontology powered intelligence building system
  • Agentic AI-powered digital assistant
  • Data Integration and large scale modeling systems
  • LLM based eval frameworks
  • BI Tools like PowerBI, Tableau etc.
Agentic AIRAG solutionsSearchVirtual AgentKPI measurement strategiesGovernance+8

Senior Search Architect

Jul 2020Aug 2022 · 2 yrs 1 mo · On-site

  • Defining Best Practices and Driving teams towards scalable and Smart search experience.
  • Leading Multiple Tracks to deliver Search solutions.
  • Building and growing teams and a culture of innovation and impact delivery in the team.
  • Creating Data driven best practices for team to continually evolve and deliver search.
Best PracticesScalable SearchTeam BuildingData-driven practicesSearch Solutions

Consultant: elsevier

Search Engine Architect with expertise in ML and Analytics

Jan 2018Jul 2020 · 2 yrs 6 mos · New York, United States · On-site

  • 1. Worked on Creating a complete Full Stack Smart Search Engine for Research Engineers across engineering Domains.
  • 2. Published papers and Patent for solutions around information extraction and complex search to make search experience intuitive.
  • 3. Knowledge Graph driven search cards/Answers
  • 4. Hundreds of gigabytes of Index, Large scale Real-time search.
  • 5. created ground up distributed search Engines based on solr and ElasticSearch for different use cases.
  • 6. concept extraction based on NLP and statistical algorithm.
  • 7. Solving Complex search and findability problems using deep usage analytics and intuitive solution
  • 8. Context analyzer and machine learning algorithm for user intent and similarity
  • 9. Log analytics using ELK
Full Stack Smart Search EngineInformation ExtractionKnowledge GraphReal-time searchDistributed search EnginesNLP+3

Consultant elsevier

Search Engine Consultant

Dec 2012Jan 2018 · 5 yrs 1 mo · India · On-site

  • Project : engineering reference content search engine.
  • 1. Worked on Creating a complete Full Stack Smart Search Engine for Research Engineers across engineering Domains.
  • 2. Published papers and Patent for solutions around information extraction and complex search to make search experience intuitive.
  • 3. Hundreds of gigabytes of Index, Large scale Real-time search.
  • 4. distributed search Engine based on solr and ElasticSearch
  • 5. concept extraction based on NLP and statistical algorithm
  • 6. Context analyzer and machine learning algorithm for user intent and similarity
  • 8. Log analytics using ELK
  • 9. Elastic logstash kibana driven structured data exploration engine
  • Project :: Geo Specific Search Engine for feature analysis of earth surface.
  • 1. reverse geo search capabilities
  • 2. polygon search
  • 3. tile zoom in zoom out and respective content grouping capabilities
  • Project :: material search engine
  • 1. Large scale search engine for simulating multi dimensional curves in to BBox and searches
  • 2. spatial data indexing and analysis
  • 3. Elastic search nested document structure and nested querying.
  • Major Highlights
  • Extract, analyze, Integrate Specialized Structured/Unstructured data
  • Crawling and Extraction Techniques for Highly distributed and unstructured sources
  • Distributed Search platform and Indexing System
  • NLP Algorithm for Concept Extraction, Similarity Algorithm, Clustering Algorithms, K-Mean
  • Big Data analytics for Concept extraction and Pattern recognition.(Map-Reduce)
  • Multi Domain taxonomy creation, integration, search and Analytics.
  • Technologies:
  • Java, Solr, Crawler, Cloud computing, SAAS, Crawling, Taxonomies and Ontologies, NLP, ElasticSearch, Jenkins, Git, Pentaho,AWS EC2, Mysql
Smart Search EngineInformation ExtractionDistributed search EngineNLPLog analyticsSearch Engine Development

Investic, belgium

Search Engine, Analytics, Information and Data Retrieval Expert. Knowledge Tree(Ontology,Taxononomy)

Aug 2009Nov 2012 · 3 yrs 3 mos · Belgium

  • Organization : Investic Belgium
  • project description ::
  • 1. pharma industry based search engine
  • 2. MESH ontology based content integrations
  • 3. unstructured and structured text integration and similarity algo based content relationship
  • 4. large scale distributed data aggregation systems
  • Expertise :
  • Solr based BI Systems and Enterprise search applications.
  • Semantic web,Taxonomy, Ontolology based BI systems.
  • Crawlers and data retrieval systems.
  • Alfresco based CMS, Process management, Workflows, storage Services.
  • Rest Webservices
  • Recommender systems (Mahout), Collaborative filtering
  • Open NLP entity extraction.
  • Technologies:
  • Java,Open source Technologies. Semantic web, Solr, Alfresco, Crawler, Cloud computing, SAAS, jbpm, Crawling, Taxonomies and Ontologies
  • Platforms:
  • Amazon EC2, Amazon S3, Unix Flavours, Windows Flavours
  • Databases and repositories
  • Mysql, Oracle
Pharma industry search engineMESH ontologyData aggregation systemsSearch Engine Development

Rofous

Crawler Dev

Feb 2009Aug 2009 · 6 mos · Gurgaon, Haryana

  • Client: Google
  • Description : Search and data aggregation on google images ,Crawler Dev: Created Crawling module, Large scale Crawling system for meta data extraction.
Crawler DevelopmentData aggregation

Infogain

Solr, Lucene Developer

Jun 2007Feb 2009 · 1 yr 8 mos

  • Java, Solr, Lucene Developer, Learned to understand lucene indexes and creating POI for MS office file types.
SolrLuceneJava

Education

JSS NOIDA

Bachelor of Technology — Computer Science

Jan 2003Jan 2007

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