tom smith
@Tom Smith
Tom Smithverified
AI Content Strategist | LLM Training & Chatbot Development | Trained Google Bard...
About
LLM Training & Evaluation Specialist with hands-on experience building major AI models. As one of the original six members of Google's Bard training team (now Gemini) and current M... Show more
Top Skills
LLM Training & Evaluation
•
AI Model Optimization
•
RLHF (Reinforcement Learning from Human Feedback)
•
Prompt Engineering
•
AI Quality Assurance
•
Content Strategy & Creation
Experience
work
Lead Content Strategist
Cognizant Technology Services
Sep 2021 - Present♦ Senior AI Implementation Consultant: Available for additional strategic AI consulting projects outside Cognizant scope
♦ Senior member of the International Digital Content Team
♦ Content strategy for Ford Motor Company IT Learning & Development Center of Excellence
♦ UX and conversational design for Kaiser Permanente Digital Technologies; authored over 200 conversational chat flows across member services, clinical, and pharmacy lines of business
♦ Content strategy for Kaiser Permanente Digital Information Technology for the Azure Platform
♦ Provide communications training and QA to offshore YouTube Support team members; helped drive CSAT from 75 to 100%
♦ Provide communications training and QA to the Google GTech team
♦ Technical writer for Google's Privacy, Security, and Safety Governance Group
♦ Senior content strategist and prompt engineer on the Google Bard (now Gemini) "seed" team: provided UX and conversation design, built documentation and assessments while training incoming cohorts of content reviewers and writers for LLM
♦ Managed communications for the Google Retail Training program
♦ Lead content strategy for Gilead Pharmaceutical as they moved on-premises intranet to the cloud
♦ Lead Content Team Innovation Pod, created AI Prompt Engineering Training Program and the initial AI Prompt Library for Content Creation
♦ Authored e-book, "From Pixels to Prose: A Guide to Creating AI-Enabled Content"
♦ Edited e-book, "More Than Just Words: Understanding and Addressing Microaggression for Workplace Wellness"
♦ Research, analyze, and test generative AI solutions for the firm's proof of concept
Education
school
Duke University, Fuqua School of Business
MBA, Business and Marketing
1979 - 1981Currently Exploring
* RLHF optimization techniques for production LLM applications
* Model evaluation frameworks for enterprise AI deployments
* Prompt engineering patterns that actually scale in production
* Agentic AI architectures for complex development workflows
* Model evaluation frameworks for enterprise AI deployments
* Prompt engineering patterns that actually scale in production
* Agentic AI architectures for complex development workflows
Achievements
* Original Google Bard/Gemini seed team member (1 of 6 trainers)
* Scaled LLM training operations from 6 to 72 team members
* Evaluated Meta AI Business Assistant systems
* Improved AI output quality by 45% through systematic prompt engineering
* Created training frameworks and evaluation rubrics adopted across Fortune 500 companies
* Written 1,800+ articles on enterprise AI and developer tools
* Scaled LLM training operations from 6 to 72 team members
* Evaluated Meta AI Business Assistant systems
* Improved AI output quality by 45% through systematic prompt engineering
* Created training frameworks and evaluation rubrics adopted across Fortune 500 companies
* Written 1,800+ articles on enterprise AI and developer tools
Fun Fact
When I'm not evaluating LLM outputs or debugging prompt engineering strategies, I'm working out at the gym and eating at Chipotle. Both activities help me think through complex model optimization problems.
Random Dev Quote
Understanding how to evaluate an LLM is more valuable than knowing how to build one. Most developers need optimization skills, not ML PhDs.
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