Enterprise Systems01
See enterprise proof first
Start with manufacturing DX and internal operating systems that show process depth, system integration, and delivery realism.
Best first clicks
Smart Factory QC PlatformEngineering Resource Board
AI-Native Problem Solver
I turn messy operations, data bottlenecks, and industrial constraints into working systems.
AI-native full-stack engineer and strategic program solver building manufacturing DX, internal operating tools, and decision systems that teams can use immediately.
I go deep on the real constraint first, then build the analysis, visualization, and management layer the team needs next.
Manufacturing DX systemsRapid data and ops toolingOQC-EOB → Microsoft 365 / SAP (planned)
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Tech Stacks
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Domains
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AI Agents
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AI Tooling02
See AI-native workflow proof
Start with multi-agent delivery, automated review, and AI products that ship real outputs instead of just demos.
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AI Cycling CoachAI Kanban Pipeline
Data Products03
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Start with analytics-heavy products that turn messy signals, files, and records into usable insight.
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CPET PlatformRide Analytics
Featured Proof
Three projects that explain the portfolio faster than a long bio.
These are the strongest entry points if you want to understand enterprise systems, AI orchestration, and delivery quality.
Featured 1
Smart Factory QC Platform
Industrial QC execution platform connecting UI, APIs, identity, and device protocols.
Enterprise SystemsSystem
Why start here
Best first proof if you want to see enterprise-grade system design in a manufacturing context.
LeadershipOpsEngineering
View Details →Featured 2
AI Cycling Coach
Production AI coach that converts training context into ride-ready workouts.
AI ToolingAgentic
Why start here
Best health-side proof for AI orchestration, managed deployment, and real output generation.
ProductEngineering
View Details →Featured 3
AI Kanban Pipeline
Multi-agent delivery system that plans, implements, reviews, and tests code changes.
AI ToolingAgentic
Why start here
Best proof if you want to understand my AI-native engineering workflow and orchestration style.
LeadershipEngineering
View Details →Browse All Work
After the curated entry, browse the rest by strategic track or domain.
13 projects shown
About
I work where operational ambiguity, data friction, and execution pressure meet. My strongest position is not generic SaaS. It is turning manufacturing workflows, data systems, and internal operations into software teams can actually use.
I am most effective when the problem is still blurry. I dig until the real bottleneck becomes visible, then build the analysis, visualization, and management layer that lets the team move faster.
Operating signal
AI-native problem solving that scales into team change
As a team lead, I use solo end-to-end deployment work as a proving ground for enterprise decisions. Managed services taught me how to move fast, translate modern stacks into enterprise constraints, and propose the next operating layer instead of waiting for it to appear.
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Find the real constraint first, not just the visible symptom.
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When the tool is missing, build the data analysis, visualization, or management layer immediately.
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Translate working systems into enterprise-ready direction, including OQC-EOB and planned Microsoft 365 / SAP links.
Industrial
Manufacturing AutomationPLC / ModbusEdge-to-Cloud
Health
Metabolic AnalysisTraining ScienceWearable Data
Consumer
Service PlatformsMulti-bank ParsingOAuth Flows
DevTools
Multi-Agent AICode ReviewCI/CD Automation
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Projects Shipped
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Domain Verticals
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Tech Stacks
From Three Worlds to One Strategy
Strategic thesis
The value is not just the apps. It is the operating system behind them.
My strongest position sits at the intersection of manufacturing DX, full-stack product delivery, and AI-native tooling. I go deep on the real operational problem, make the data legible, and build the missing software layer fast enough for the team to use it immediately.
Solo build-and-deploy experience became enterprise leverage because it gave me a working map for OQC, EOB, and the next integration surface.
Enterprise direction
Now
OQC and EOB are being shaped as connected operating surfaces for quality and execution.
Planned
Microsoft 365 workflow links for coordination, approvals, reporting, and operational follow-through.
Planned
SAP connectivity for enterprise records, handoffs, and operational continuity.
Microsoft 365 and SAP are planned integration targets, not yet shipped public features.
Manufacturing DX
PLC Protocols (Modbus, OPC-UA, MQTT)Equipment APIsFactory DashboardsBDD Quality Control
Full-Stack Product
SaaS / Portal / MobileReact + FastAPI + PostgreSQLVercel / Docker / CI-CDNext.js + Flutter
AI-Native Tooling
6-Agent PipelineAuto Code Review30+ Custom SkillsSprint Automation
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Products Shipped
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Domain Verticals
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Industrial Protocols
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AI Agents
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Dev Skills Built
Core Stack
Frontend
React 19Next.js 15/16Tailwind CSSZustandTanStack QueryRechartsReactFlow
Backend
FastAPIRuby on Rails 8Node.js
Database
PostgreSQLTimescaleDBInfluxDBSQLiteNeonSupabase
AI / LLM
Claude APIGroq (Llama)GeminiMulti-Agent Orchestration
Infra
DockerVercelCloud RunGitHub Actions
Protocol
Modbus TCPHostlinkSAML 2.0OAuth 2.0
Get in Touch
Have a project in mind or want to collaborate? I'm always open to interesting conversations.