Kylan Thomson, AI Engineer & Google Cloud Solutions Architect

Design and deliver enterprise GenAI and agentic solutions on Google Cloud for Fortune 500 clients, from AI strategy and value discovery through architecture and production deployment.

• Built Promevo's No-Code Agent Library, an AI value-discovery platform generating 100+ role-specific agent use cases across 10 business functions with ROI modeling, surfacing an average of $3M in agentic opportunities per engagement.
• Helped position Promevo as a strategic Google Cloud GenAI partner via the Agent Library and a repeatable Gemini Enterprise methodology, contributing to Google entrusting Promevo with $1M–$2M enterprise opportunities.
• Architected a reusable suite of "last-mile" agents (Python, Google ADK, Agent2Agent) that autonomously produce presentations, images, video, and documents grounded in centrally managed brand guidelines and templates.
• Exposed those agents over A2A as composable enterprise infrastructure: customer agents delegate artifact creation while a central control plane governs brand standards and approved assets.
• Built a multi-MCP marketing and commerce agent for a global digital experience platform that unites audience intelligence, product insights, generative video, Meta ads, and Shopify campaigns in one workflow, winning C-suite sponsorship for production and marketplace distribution.
• Led an agentic AI hackathon for a major U.S. manufacturer, turning supply-chain challenges across ~12 teams into an orchestrated agent that surfaces forecasting insights conversationally and enables earlier intervention against disruptions, multimillion-dollar expedited-shipping exposure, and plant-shutdown risk.
• Productized Gemini Enterprise delivery (workshops, use-case discovery, ROI analysis, change management) so engagements repeat across Promevo's Professional Services organization.

• Vertex AI
• Gemini Enterprise
• Agent Development Kit (ADK)
• Agent2Agent (A2A)
• MCP
• Python
• Google Cloud

Brought LLM automation and large-scale data engineering to the experimentation program of a major U.S. airline.

• Led development of LLM-powered agentic workflows that automated experiment analysis end to end, with human-in-the-loop validation so analysts reviewed conclusions instead of rebuilding them, an early production application of GenAI inside the experimentation program.
• Engineered Python/PySpark pipelines on Databricks that evaluated experimentation techniques at scale, giving product teams a defensible, data-driven basis for ship-or-hold decisions.
• Deployed a Spark-based QA pipeline that inspects 100,000+ transactions a day for anomalies and system-health signals, giving the program a continuous check on the integrity of the data behind every readout.
• Built experiment tagging and tracking systems that turned a growing portfolio of tests into actionable insight on customer behavior and revenue impact.
• Designed and ran the experiments behind the airline's eco-friendly initiatives, lifting user engagement and conversion on those flows.

• Python
• PySpark
• Databricks
• LLM Workflows
• Spark

Consulting engineer delivering cloud data platforms and full-stack products for enterprise clients.

• Built real-time customer data streams on AWS MSK (Kafka) feeding Braze, enabling personalized, event-driven customer engagement for an enterprise client.
• Implemented infrastructure as code with Terraform and GitHub Actions CI/CD pipelines, making environments reproducible and every deployment an automated, reviewable change.
• Wrote Java integration test suites that guarded pipeline integrity as the data platform scaled.
• Led website localization with React and Node.js, increasing global user engagement across the client's international audience.

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

Full-stack engineer at an early-stage startup, shipping across web, mobile, and cloud.

• Delivered scalable product features across the full stack (React and Node.js on AWS, Python services, and Flutter mobile) with ownership from design through deployment.
• Turned business requirements into technical specifications that kept a fast-moving roadmap aligned with stakeholder goals.
• Profiled and optimized application performance and AWS backend operations, improving responsiveness and reliability.
• Developed cross-platform iOS and Android apps with Flutter from a single codebase.

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