HI! I’M TOM UPDIKE
I'm a prompt engineer out of the SF-Bay Area specializing in building engaging Agentic AI Solutions and deriving useful insights from chat data.
ABOUT ME
I'm an economics graduate with experience in data analytics who pivoted from analyzing chatbot data into using that data to create meaningful, engaging conversational designs.
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I am currently at Google, where I build and manage the Gemini-powered LLM experiences on various Google websites, including Google Workspace and Google Cloud.
I am always looking forward to new opportunities and how I can leverage my skills while furthering my own professional development.
When I'm not working, I enjoy playing rugby, rock climbing, and exploring the Bay Area with my wife and dog.
MY EXPERIENCE
Background & Expertise
Conversational AI Designer & Prompt Engineer at Google (via Kinertia)
April 2023 - Present
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Designed & built GCP's LLM-powered Chatbot which is currently live site-wide on multiple Google domains
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Researched and implemented cutting-edge prompt engineering techniques to improve response coherence and relevance
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Developed custom fine-tuned AI models by curating high-quality datasets, training AI to perform specific tasks or emulate certain styles
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Built and managed an automated LLM response evaluation service to monitor response quality
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Acted as the sole point of contact for stakeholders on the executive team and the sales development representatives staffing our live chat service
NLP Data Analyst & Chatbot Developer at Google (via the Sage Group)
March 2019 - April 2023
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Designed & built GCP's Dialogflow-powered Chatbot which is currently live on various Google sites
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Crafted conversational flows with user-friendly dialogue, maintaining brand voice and user intent alignment
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Designed scalable dialogue systems capable of handling diverse user queries and multilingual support
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Utilized python to create the data pipeline which parses Chatbot log-level data and formats into an easy-to-read DataStudio dashboard for stakeholders
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Built R. code to run monthly & ad-hoc forecasting models on Chatbot sales performance to predict impact on site performance
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Built the chat channel from a one-page experiment to a multi-domain, site-wide pipeline generating >$100 million in opportunities per year
Data Analyst at Apple
January 2018 - March 2019
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Used SQL to manipulate big data for Apple’s mapping team​
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Analyzed, validated, and enhanced data content
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Responsible for updating training materials
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Provided QA processes used and ran by engineering teams
EDUCATION
What I’ve Learned
January 2013 - June 2017
BS ECONOMICS - UNIVERSITY OF MARY WASHINGTON
Econometrics & Statistics
Utilized R. and SQL for statistical analysis, forecast modeling, and data science
GISP Certification
Utilized ESRI products, QGIS, and Python for geospatial analysis & topic modeling​
January 2018 - Present
VARIOUS CODE CERTIFICATIONS - UDEMY
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Supplemented my undergraduate degree with various technical courses
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R., data science, and statistical modeling​
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SQL, data analytics and big data fundamentals
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MY SKILLS
Prompt Engineering
I excel at crafting precise and effective prompts that drive meaningful AI interactions. I am able to understand and optimize language models ensures that the content meets both user needs and project goals.
DATA ANALYSIS
I have strong fundamentals in both analytical and abstract data analysis. I am capable of taking imperfect data and extracting useful and intuitive observations
Conversational Design
As a skilled conversational designer, I specialize in creating engaging and intuitive dialogue experiences that resonate with users. My designs ensure that interaction is seamless, enhancing user satisfaction and driving effective communication.
"Prompt engineering: The delicate art of convincing a superintelligent magic 8-ball to give you the answer you want."​
- Einstein, probably
