2016
NetApp: customer reporting, bi analytics
KyleSpringfield
Hey, glad you made it here.
I built this site as a home base for my work.
After a bunch of projects, I wanted one place
to share what I'm building,
what I'm learning,
and where I'm headed.
Scroll around and you'll get the real story:
practical work, honest experiments, and a lot of curiosity.
Proof
Systems built across analytics, data engineering, and AI delivery.
2017
UBS: tableau dashboards, reporting
2017
RRD: python, marketing science, data engineering
2021
Freelance: web applications, ai api integration
2024
Peraton: cms healthcare data pipelines
2026
Cisco: business intelligence, analytics systems
Projects
Flagship systems and applied experiments.
intercoach
FlagshipReal-time AI mock interview app with voice conversations, guided question flow, and instant feedback.
aifullstack
TypeScriptReactViteExpressOllamaKokoro TTS
sams-studio
FlagshipFull-stack studio management platform with scheduling, bookings, memberships, reporting, and role-based admin/instructor/client workflows.
fullstack
Next.jsSupabaseStripeCapacitor
ecommerce-dbt
FlagshipEnd-to-end dbt pipeline on DuckDB with tests, docs, and CI.
data
dbtDuckDBSQLCI/CD
clear-capacity
FlagshipLocal-first macOS workload intelligence and explainable capacity planning for analysts.
aidatafullstack
TypeScriptReactTauriRustViteOpenAI API
xenosync
FlagshipMulti-agent AI orchestration platform coordinating parallel Claude Code sessions.
aifullstack
TypeScriptNode.jsLLM APIsAutomation
chatdeb
FlagshipFull-stack chatbot for analyzing business data.
aidatafullstack
FastAPIOpenAILangChainDuckDBdbtReact
Skills
What I ship with in production.
Data Engineering
SQL · Python · dbt · ETL/ELT · Snowflake · AWS · Databricks · Data modeling · Pipeline reliability
Analytics & Measurement
Measurement · Data Visualization · A/B Testing · Tableau · Streamlit · Experiment design
AI Engineering
Gen AI · AI workflow design
Dev + Delivery
Git · Bash · CI/CD · Docker · Agile · Testing · Deployment discipline
Now
What I'm experimenting with right now.
6/7/2026 · ventures
Developing an enterprise Django hub designed to help salespeople around the world use internal AI tools more often and more effectively.
The experience brings enablement into one place: sellers can complete practical tasks, earn badges, train on AI-assisted workflows, and share field-tested examples with their peers.
The application is still in active development and depends on close collaboration across engineering, sales, and leadership.
6/7/2026 · tools
Using Cursor as my primary AI development assistant while building the Django application, with Claude Code helping maintain and evolve the supporting dbt models.
The goal is to combine fast AI-assisted iteration with reliable data foundations as the product and its measurement needs take shape.
6/7/2026 · ideas
Exploring how activation, learning, and community can work together to make enterprise AI adoption practical rather than abstract.
Sellers will learn where agents can take on repetitive work and how an AI sales assistant can accelerate research, deck building, and analysis, while shared field experiences help the most useful workflows spread.
6/7/2026 · models
At work, Claude Opus 4.8 is my default model in Cursor. In my experience, its reasoning is unmatched for building applications, debugging, refining interfaces, and turning loosely formed ideas into reliable implementations with fewer corrections.
Cursor's Auto mode is convenient, but I still prefer choosing Opus directly; handoffs to models such as Composer 2.5 have been less consistent for the complex work I give it.
Outside work, I gravitate toward ChatGPT for everyday questions, research, and browsing. I have also been impressed by GPT-5.5 in the Codex app, which gives me a powerful personal development workflow through a standard subscription without requiring the higher-cost plan I previously needed to get sustained value from Claude Code.
Contact