Operations automation
Internal workflow tool
Field Folder Automation Tool
Lightweight field-crew automation for folder creation, photo placement, and naming conventions in survey workflows.
Field opsAutomationWorkflow
James Dye / XyFlow Innovations
AI-first systems builder for messy technical problems.
I build practical AI-native tools around field workflows, data pipelines, Unity asset production, diagnostics, and research systems. The path is nontraditional; the artifacts are real.
XPRIZE milestone award
$36k
Solo Global Water Scarcity / desalination concept advanced to milestone funding.
Field operations
SAM
Crew Chief / UAS Operator working survey, drone, LiDAR, and utility environments.
Credential
Part 107
FAA Remote Pilot Certificate plus B.S. GIS from The Ohio State University.
Public proof
GitHub
Data pipelines, research systems, mobile apps, Unity tools, and product surfaces.
Featured work
Portfolio proof without making the reader decode a repo.
The site is organized around artifacts: what problem each project addresses, what exists, and where the proof lives.
Asset generation pipeline
Private active build
AssetForge
A local pipeline for turning AI-assisted asset ideas into Unity-ready source, generated files, reports, and reviewable outputs.
3D assetsUnityAutomation
Research instrument
Public curated surface
Attractor Observatory
An AI-orchestrated research architecture built to stress-test agent collaboration, validation discipline, and current system limits.
ALifeAI operationsResearch
GitHub availableData engineering
Public portfolio repo
GNSS Clock Pipeline
Python ETL across GNSS clock products and space-weather feeds, with partitioned Parquet outputs and anomaly detection.
PythonETLParquet
GitHub availableExternal validation
Milestone-funded concept
XPRIZE Water Scarcity Submission
Solo theoretical desalination design submitted to the XPRIZE Global Water Scarcity competition.
Systems designWaterCompetition
Operating model
AI-first does not mean AI-unsupervised.
The advantage is problem framing, system taste, agent orchestration, validation pressure, and shipping discipline. AI accelerates implementation; the human job is deciding what matters and forcing proof.
Unity creators
PackSmith, AssetForge outputs, asset-pack QA, seller preflight, and Unity Store support surfaces.
AI operating systems
Project control rooms, estimation logs, evidence ledgers, and agent workflows that keep AI-assisted builds inspectable.
Portfolio-grade pipelines
Readable repos, screenshots, validation notes, and deployable pages instead of disconnected project summaries.
Best-fit roles
Built for companies with messy technical workflows.
The strongest fit is not generic app work. It is operations, diagnostics, geospatial data, field support, internal automation, applied AI prototypes, and research software where the domain is complicated and the output has to be usable.
AI systems builder
Internal tools engineer
Data engineer
Research software engineer
Field operations automation
Geospatial / GIS software
Diagnostics and service-support AI
Applied AI prototyping
Two doors, one site
Recruiters get the portfolio. Unity users get the product lane.
A single Vercel site can serve job applications, GitHub project readers, Unity Asset Store customers, and asset-pack buyers without forcing every audience through the same page.