Kylan ThomsonAI Solutions Architect · Google Cloud

Designing and delivering Generative AI solutions on Google Cloud for Professional Services clients — from scoping through production.

• Engineer custom Generative AI agents, including an agent that automates project resource allocation by ingesting project context, matching skill alignment, checking calendar availability, and creating meeting invites.
• Developed a custom GenAI application for brand-style image creation; external demos of the app won follow-on projects and client workshops.
• Templatized and standardized Gemini Enterprise workshop delivery, improving scalability and repeatability across the Professional Services team.
• Re-scoped and stabilized a critical client engagement, turning a misaligned project into follow-on work discussions.
• Scoped a complex content-platform migration for a healthcare client, including a successful proof-of-concept reconstructing proprietary pages into embeddable Google Docs.
• Established a NotebookLM-based process for hosting client engagements, now incorporated into client demonstrations.
• Collaborated with gPanel developers to establish best practices for the Gemini CLI, contributing to internal product and developer enablement.

• Vertex AI
• Gemini Enterprise
• Agent Development Kit (ADK)
• MCP
• Dialogflow
• Python
• Google Cloud

AI-assisted experimentation and large-scale data engineering for a major U.S. airline.

• Orchestrated development of LLM-powered agentic workflows that automated experiment analysis with human-in-the-loop validation.
• Engineered Python/PySpark pipelines on Databricks for analyzing experimentation techniques, enabling data-driven product decisions.
• Deployed a Spark-based QA pipeline processing over 100,000 transactions daily for anomaly detection and system health.
• Implemented experiment tagging and tracking systems, surfacing actionable insights on customer behavior and revenue impact.
• Designed and executed experiments promoting eco-friendly initiatives, driving user engagement and conversion.

• Python
• PySpark
• Databricks
• LLM Workflows
• Spark

Cloud data engineering and full-stack delivery for enterprise consulting clients.

• Developed real-time data streams using AWS MSK (Kafka) and Braze, enabling personalized customer engagement.
• Implemented infrastructure as code with Terraform and configured GitHub Actions CI/CD pipelines.
• Built Java integration test suites to ensure pipeline integrity and scalability.
• Led website localization efforts using React and Node.js, increasing global user engagement.

• AWS MSK / Kafka
• Terraform
• Java
• GitHub Actions
• React
• Node.js

Early-stage startup engineering across web, mobile, and cloud.

• Contributed to scalable software applications using AWS, React, Node.js, Python, and Flutter.
• Translated business needs into technical documentation, aligning development with stakeholder goals.
• Optimized application performance and backend operations on AWS.
• Developed cross-platform mobile applications with Flutter.

• AWS
• React
• Node.js
• Python
• Flutter