Summary
Overview
Work History
Education
Skills
Certification
Research Publications
Books
Conferences & Presentations
Timeline
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Trey Grainger

Tech Executive, Author, CTO, Founder, Public Speaker
Greenville,South Carolina

Summary

Experienced Engineering + Data Science Executive with a demonstrated history building incredibly strong teams and products. Strong engineering and product management skills, able to guide both functions as Chief Technology Officer. Particularly strong background in the Search and Information Retrieval, Recommendation Systems, and Natural Language Processing. Also a startup founder, investor, and technical advisor.

Overview

18
18
years of professional experience
5
5
years of post-secondary education
4
4
Certifications

Work History

Founder

Searchkernel
05.2020 - Current
  • Founded company focused on building the next generation of search engine technology
  • Provide AI-powered search development, advisory, and training for some of the world's most innovative companies

Author

Manning Publications
04.2019 - Current
  • Lead author of the book AI-Powered Search (Manning 2024)

Advisor

Southern Data Science Conference
12.2016 - Current
  • Member of the Advisory Board for the Southern Data Science Conference, the preeminent data science conference across the southeastern united states

Chief Technology Officer

Presearch
06.2020 - 06.2023
  • Served as CTO, responsible for both product management and engineering
  • Designed and and build decentralized web search engine powered by over 70,000 nodes worldwide run by community members powering millions of searches per day from millions of monthly active users
  • Responsible for operations of technology platform, as well as hiring and management of engineering team

Lecturer

Various
03.2016 - 09.2022

Guest Lecturer for various university courses:


Georgia Tech

  • CSE6242: Data & Visual Analytics Course.

Spring 2016

Taught guest lecture on "Reflected Intelligence:

Evolving self-learning data systems"


Furman University

  • CSC272: Introduction to Data Mining, Analytics, and Knowledge Discovery

Fall 2017

Taught guest lecture on "Intent Algorithms: The Data

Science of Smart Information Retrieval Systems"


Southern Data Science Conference

  • "AI-powered Search" training

September 2022


  • "Smart Search" training

April 2019


Advisor

Lucidworks
05.2020 - 05.2021

Provided consulting on AI-powered search approaches to Lucidworks and their customers

Advisor

Presearch
07.2017 - 06.2020
  • Advised company on blockchain technology, token economics, and search engine technology design.
  • Assisted with marketing and promotion
  • Helped inform executive decisions around hiring for key roles, partnerships, and company vision and messaging

Chief Algorithms Officer

Lucidworks
12.2018 - 05.2020
  • Drove vision and practical application of intelligent search and data science techniques impacting hundreds of the world's brightest companies
  • Worked closely with customers and publicly as a thought leader at the intersection of Search and AI.

Founder and Chief Engineer

Celiaccess
09.2009 - 09.2019
  • Created Celiaccess.com, the gluten-free search engine and networking site
  • Engineered the site's entire framework (front-end and back-end) and set the strategic vision for the company
  • Platform allowed thousands of daily visitors to update and comment on the viability of any product and restaurant for those maintaining a gluten-free lifestyle
  • Built mobile phone apps, including a gluten-free product barcode scanner and a GPS-based gluten-free restaurant locator
  • The site received well over a million hits per year and the mobile apps were installed over one hundred thousand times

SVP Engineering

Lucidworks
02.2016 - 11.2018
  • Engineering executive responsible for leading Lucidworks' globally-distributed, remote-first engineering team
  • Worked closely with Product Management to drive vision and development of both open source Apache Lucene/Solr and the company's industry-leading commercial search platform (Lucidworks Fusion)
  • Met or exceeded aggressive ARR targets every single quarter and achieved world class customer retention, with net retention in stratospheric territory (140%).
  • Helped company sustain and improve on > 50% annual revenue growth while in my role

Director of Engineering, Search & Recommendations

CareerBuilder
10.2014 - 02.2016
  • Led the engineering department that develops CareerBuilder's global search, analytics, and recommendation engine platforms
  • This primarily includes building data science and software engineering teams that can evolve a scalable search platform, recommendation engine algorithms, and Big Data analytics products
  • Managed a team of 30+ managers, team leads, and individual contributors (software engineers, data scientists, and data analysts)

Director of Engineering, Search & Analytics

CareerBuilder
01.2014 - 10.2014
  • Led the engineering department that develops CareerBuilder's global search engine and analytics platforms
  • This primarily included building software engineering teams to evolve a scalable search platform and power Big Data analytics products

Author

Manning Publications
03.2012 - 03.2014

Co-authored the book Solr in Action (Manning 2014)

Search Technology Development Manager

CareerBuilder
01.2012 - 01.2014
  • Managed and served as a systems architect for several teams of software engineers developing CareerBuilder's core search and recommendation technologies and evolving new industry-leading products for data analytics on unstructured and semi-structured data
  • Platform was responsible for handling hundreds of millions of documents, responding to thousands of queries per second, and dynamically scaling to easily handle rapidly growing data volumes while maintaining significantly sub-second search speeds
  • Occasional speaker at industry conferences on search engine technology.

Search Technology Development Team Lead

CareerBuilder
11.2008 - 01.2012
  • Led a team of software engineers in the development of our core search technology and the evolution of new industry-leading products for data analytics on unstructured and semi-structured data
  • In 2009-2010, led a small team of engineers and contractors through a successful (ahead of time and budget) one year conversion to Apache Solr and away from the Microsoft FAST ESP search platform
  • Was responsible for architecting the initial version of CareerBuilder's cloud-like search API exposing search as a simple, dynamic, and powerful generic service abstracted away from a large, globally-distributed architecture
  • Led the building of systems handling thousands or queries per second and hundreds of millions of documents across thousands of Apache Solr search indexes
  • Technical experience in this role includes handling multi-lingual content across dozens of markets/languages, machine learning, genetic algorithm and user group based relevancy tuning, geo-spatial search and validation, and work on customized payload scoring models, data mining, clustering, and recommendations.

Software Engineer II

CareerBuilder
01.2008 - 11.2008
  • Developed CareerBuilder's A/B user testing framework which was used to conduct experiments with millions of site visitors every month
  • Helped to modernize CareerBuilder's job search and job viewing process through the development of a lazy-loading Ajax framework which reduced page load speed by over 50%
  • Helped develop a framework for identifying and tagging potentially malicious job postings
  • Worked with business development and a large, external software vendor to successfully and painlessly introduce a unified advertising system platform-wide in a nearly impossible timeline, resulting in millions of additional dollars in revenue
  • Performed an extensive analysis of our search capabilities and laid out a road-map for opportunities to drastically improve our search capabilities going forward.

Software Engineer I

CareerBuilder
07.2007 - 01.2008
  • Built consumer-facing web pages powering job searches and leading to over one million job applications per day
  • Designed and implemented a first-of-its-kind map-based search interface, partnering with Microsoft
  • Discovered and helped fix a major security issue during my first week

Education

No Degree - Information Retrieval & Web Search

Stanford University
Palo Alto, CA
05.2014 - 05.2014

Executive MBA, Management of Technology -

Georgia Institute of Technology
Atlanta, GA
01.2011 - 05.2012

Bachelor of Arts - Computing-Business, Philosophy

Furman University
Greenville, SC
05.2003 - 05.2007

Skills

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Certification

Coding the Matrix: Linear Algebra through Computer Science Applications (Brown University) - Coursera

Research Publications

  • "Fully Automated QA System for Large Scale Search and Recommendation Engines Leveraging Implicit User Feedback"
    WSDM, 2018
  • "Mining Massive Hierarchical Data Using a Scalable Probabilistic Graphical Model"
    Journal of Information Sciences (Elsevier), 2018
  • "Combining content-based and collaborative filtering for job recommendation system: A cost-sensitive Statistical Relational Learning approach"
    Journal of Knowledge-based Systems (Elsevier), 2017
  • "Application of Statistical Relational Learning to Hybrid Recommendation Systems"
    STARAI, 2016
  • "Entity Type Recognition using an Ensemble of Distributional Semantic Models to Enhance Query Understanding"
    IEEE COMPSAC, 2016
  • "Macro-optimization of email recommendation response rates harnessing individual activity levels and group affinity trends"
    IEEE ICMLA, 2016
  • "The Semantic Knowledge Graph: A compact, auto-generated model for real-time traversal and ranking of any relationship within a domain"
    IEEE DSAA, 2016
  • "Improving the Quality of Semantic Relationships Extracted from Massive User Behavioral Data"
    IEEE Big Data, 2015
  • "Query Sense Disambiguation Leveraging Large Scale User Behavioral Data"
    IEEE Big Data, 2015
  • "Augmenting Recommendation Systems Using a Model of Semantically-related Terms Extracted from User Behavior"
    ACM RecSys, 2014
  • Crowdsourced Query Augmentation through Semantic Discovery of Domain-specific Jargon
    IEEE Big Data, 2014
  • "PGMHD: A Scalable Probabilistic Graphical Model for Massive Hierarchical Data Problems"
    IEEE Big Data, 2014

Books

  • AI-Powered Search (Manning 2024)

     by Trey Grainger, Doug Turnbull, and Max Irwin


  • Solr in Action (Manning 2014)

     by Trey Grainger and Timothy Potter


  • Distributed Computing in Big Data Analytics (Springer 2017)

     Wrote the final chapter, "Utilizing Big Data Analytics for Automatic 

     Building of Language-agnostic Semantic Knowledge Bases"

     by Khalifeh Al Jadda, Mohammed Korayem, and Trey Grainger


  • Wrote the foreword for Relevant Search (Manning 2016)

     by Doug Turnbull and John Berryman, foreword by Trey Grainger

Conferences & Presentations

  • "Relevance in the Age of Generative Search" - Southern Data Science Conference 2023
  • "AMA with the Authors of AI-Powered Search" - Haystack US 2023
  • Keynote: "Relevance in the Age of Generative Search" - Haystack US 2023
  • "Data Science for Web3: Building a Decentralized Web Search Engine" - Southern Data Science Conference 2022
  • "Applying User Signals like a Relevance Engineering Ninja" - Haystack US 2021
  • "Interpreting Intent with Semantic Knowledge Graphs" - live@Manning Graph Data Science Conference (February 2021)
  • "Ask Me Anything: AI-Powered Search" - Berlin Buzzwords / Haystack 2020
  • "Thought Vectors, Knowledge Graphs, and Curious Death(?) of Keyword Search" - Berlin Buzzwords / Haystack 2020
  • "Searching for a Better Search" - Finding Genius Podcast (May 2020)
  • "Balancing the Dimensions of User Intent" - Haystack EU 2019
  • "Reflected Intelligence: Real world AI in Digital Transformation" - Digital Transformation Conference (Boston 2019)
  • "Thought Vectors and Knowledge Graphs in AI-powered Search" - Boston Apache Lucene/Solr Meetup (October 2019)
  • "Natural Language Search with Knowledge Graphs" - Chicago Apache Lucene & Solr Meetup (September 2019)
  • Keynote: "The Next Generation of AI-powered Search" - Activate 2019
  • "Natural Language Search with Knowledge Graphs" - Activate 2019
  • "AI, Search, and the Disruption of Knowledge Management" - DOD & Federal Knowledge Management Symposium 2019
  • "Natural Language Search with Knowledge Graphs" - Haystack 2019
  • "Measuring Relevance in the Negative Space" - Southern Data Science Conference 2019
  • Keynote: "The Future of Search & AI" - Activate 2018
  • "How to Build a Semantic Search System" - Activate 2018
  • "Searching for Meaning: The hidden structure in unstructured data" - Southern Data Science Conference 2018
  • "The Relevance of the Apache Solr Semantic Knowledge Graph" - Haystack Conference 2018
  • "The Intent Algorithms of Search & Recommendation Engines" - Furman University's Big Data: Mining & Analytics Class (December 2017)
  • "The Apache Solr Semantic Knowledge Graph" - Lucene/Solr Revolution 2017
  • "Building Search & Recommendation Engines" - Greenville Data Science Meetup (June 2017)
  • "Intent Algorithms: The Data Science of Smart Information Retrieval Systems" - Southern Data Science Conference 2017
  • "The Apache Solr Smart Data Ecosystem" - DFW Data Science Meetup (January 2017)
  • "Text Data Analysis Panel: South Big Data Hub" - South Big Data Hub Text Data Analysis Panel (December 2016)
  • "The Semantic Knowledge Graph: a compact, auto-generated model for real-time traversal and ranking of any relationship within a domain" - IEEE/ACM DSAA 2016
  • "Reflected Intelligence: Lucene/Solr as a self-learning data system" - Lucene/Solr Revolution 2016
  • "Reflected Intelligence: Evolving Self-learning Data Systems" - Georgia Tech's Data & Visual Analytics Class (March 2016)
  • "Searching on Intent: Knowledge Graphs, Personalization, and Contextual Disambiguation" - Bay Area Search Meetup (November 2015)
  • "Leveraging Lucene/Solr as a Knowledge Graph and Intent Engine" - Lucene/Solr Revolution 2015
  • "Semantic & Multilingual Strategies in Lucene/Solr" - Lucene/Solr Revolution 2014
  • "Crowdsourced Query Augmentation through the Semantic Discovery of Domain-specific Jargon" - IEEE Big Data 2014
  • "Scaling Recommendations, Semantic Search, & Data Analytics with Solr" - Atlanta Solr Meetup (October 2014)
  • "Enhancing Relevancy through Personalization & Semantic Search" - Lucene/Solr Revolution EU 2013
  • "Building a Real-time, Big Data Analytics Platform with Solr" - Lucene/Solr Revolution 2013
  • "Building a Real-time, Solr-powered Recommendation Engine" - Lucene/Solr Revolution 2012
  • "Extending Solr: Building a Cloud-like Knowledge Discovery Platform" - Lucene/Solr Revolution 2011

Timeline

Chief Technology Officer

Presearch
06.2020 - 06.2023

Founder

Searchkernel
05.2020 - Current

Advisor

Lucidworks
05.2020 - 05.2021

Author

Manning Publications
04.2019 - Current

Chief Algorithms Officer

Lucidworks
12.2018 - 05.2020

Advisor

Presearch
07.2017 - 06.2020

Advisor

Southern Data Science Conference
12.2016 - Current

Lecturer

Various
03.2016 - 09.2022

SVP Engineering

Lucidworks
02.2016 - 11.2018

Director of Engineering, Search & Recommendations

CareerBuilder
10.2014 - 02.2016

No Degree - Information Retrieval & Web Search

Stanford University
05.2014 - 05.2014

Director of Engineering, Search & Analytics

CareerBuilder
01.2014 - 10.2014

Author

Manning Publications
03.2012 - 03.2014

Search Technology Development Manager

CareerBuilder
01.2012 - 01.2014

Executive MBA, Management of Technology -

Georgia Institute of Technology
01.2011 - 05.2012

Founder and Chief Engineer

Celiaccess
09.2009 - 09.2019

Search Technology Development Team Lead

CareerBuilder
11.2008 - 01.2012

Software Engineer II

CareerBuilder
01.2008 - 11.2008

Software Engineer I

CareerBuilder
07.2007 - 01.2008

Bachelor of Arts - Computing-Business, Philosophy

Furman University
05.2003 - 05.2007
Trey GraingerTech Executive, Author, CTO, Founder, Public Speaker
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