Production web apps and SaaS
Customer-facing products, internal tools, and full-stack platforms with real authentication, billing, and operational requirements.
About
AI Systems & Full-Stack Engineer
Production software and AI systems built with senior judgment.
I help founders, operators, and technical teams ship full-stack products, custom AI assistants, grounded retrieval systems, and long-running workflows without a chain of handoffs.
I do not just plug model APIs into apps. I build the product surface, orchestration, safeguards, infrastructure, and delivery process that make AI useful in the real world.
Senior Full-Stack DeliveryAI Systems & OrchestrationPrivate / Local AI SetupsAvailable for Select Projects
What I build now
Current work, translated into business-legible capabilities.
The offer is not a generic stack list. It is the mix of systems, workflows, and delivery work that helps modern software actually get shipped.
Custom AI assistants and copilots
Assistants that search, reason, call tools, and help teams move real work forward instead of acting like a demo chatbot.
Grounded retrieval systems
RAG and knowledge workflows tied to expert content, business context, and answer quality that can be defended.
Agent orchestration and long-running workflows
Tool-using loops, background jobs, approvals, and structured execution paths for work that does not fit in a single prompt.
Private and local-first AI setups
OpenClaw customization, hybrid local-cloud routing, and self-hosted assistant architecture for teams that need more control.
AI-enabled developer workflows
Claude Code, Codex, Cursor, repo harnesses, and guardrails that turn AI into engineering leverage instead of a chaos multiplier.
Proof
The AI systems angle is earned.
My portfolio already carries the proof: multi-agent orchestration, grounded retrieval, full-stack SaaS ownership, and a production assistant inside this site.
20 years
Coding across IT, cloud, web, and AI
Enough range to see where systems actually break and why.
End to end
Frontend, backend, infrastructure, and observability
Fewer handoffs, fewer blind spots, and less coordination drag.
Real receipts
Multi-agent loops, grounded retrieval, and SaaS delivery
Modern AI work backed by shipped products, not theory slides.
Senior judgment
Useful AI over flashy AI
I stay current on the tooling, but I only operationalize what earns its keep.
Agent orchestration
TweetNet
A social platform built around multi-agent behavior, event-driven interactions, and long-running AI loops.
See the proofGrounded retrieval
Dr. Anne
A RAG system grounded in a real expert corpus so answers stay tied to trustworthy source material and business context.
See the proofFull-stack SaaS ownership
CamelCollect
A production SaaS product with billing, browser tooling, observability, and the operational realities that come with real users.
See the proofProduction assistant UX
This site
The assistant on this site uses structured flows, tools, and booking support rather than a static contact form alone.
See the proofBio
I started early, but the value now is judgment.
I build production web products, custom AI assistants, and agentic workflow systems for teams that need senior execution without assembling an entire engineering org.
My background runs through IT operations, cloud solutions engineering, full-stack product delivery, and modern AI systems. That range matters because AI stops being impressive the moment it becomes fragile, insecure, expensive, or impossible to trust. I build the surrounding architecture, guardrails, observability, and delivery discipline that make the model layer hold up.
Clients bring me in when they need one accountable senior builder who can bridge strategy and implementation, move quickly with modern AI tooling, and leave the codebase in better shape than they found it.
Why work with me
Senior Judgment, Faster Delivery
I move quickly with modern AI tools, but I know where speed helps and where it creates expensive debt. That means faster delivery without the usual gamble.
AI That Survives Production
Models are the easy part. The hard part is grounding, routing, fallbacks, permissions, observability, and behavior that still makes sense after launch.
One Accountable Builder Across the System
You get someone who can own the product surface, backend, infrastructure, and AI layer together instead of turning every problem into another handoff.
Architecture, Delivery, and Rescue in One Pair of Hands
If a codebase was shipped too fast, I can audit it, stabilize it, and keep momentum going without starting over or creating more chaos.
Capability map
A capability-led stack, not a badge wall.
I care more about whether the system can be delivered, trusted, and maintained than whether every individual tool gets mentioned by name.
Product Engineering
Full-stack product delivery across the app surface, data layer, and launch path.
- Next.js and React product builds
- TypeScript-first application architecture
- Node.js and Python services
- API design, auth, billing, and admin tooling
- SaaS workflows and internal platforms
- UX that stays usable while the system grows
AI Systems
AI features that are grounded, measurable, and built to survive contact with real users.
- OpenAI and Anthropic integrations
- RAG architecture and grounded answer design
- Tool calling and structured outputs
- Prompt routing and context assembly
- Streaming assistant UX
- Guardrails, eval thinking, and answer quality controls
- Model routing, prompt caching, and token spend optimization
Agent Orchestration
Workflow systems for work that needs multiple steps, tools, and checkpoints.
- Long-running background workflows
- Tool-using agent loops
- Human-in-the-loop approvals
- Stateful execution and retries
- Multi-agent coordination patterns
- Workflow observability and failure handling
Private / Local AI
More control, less vendor lock-in, lower inference spend, and AI systems that can run closer to your data.
- OpenClaw setup and customization
- Local-model workflows with Ollama-style stacks
- Hybrid local and cloud model routing
- Self-hosted assistant architecture
- Secure permissions and integration design
- Slack, Discord, and internal channel integrations
Delivery, Reliability, and Ops
The infrastructure, monitoring, and operational discipline that keep launches from turning into cleanup jobs.
- PostgreSQL, Redis, and pragmatic data architecture
- Vercel, AWS, Docker, and deployment pipelines
- Monitoring, rate limiting, and incident reduction
- CI/CD and release hardening
- Performance, resilience, and operational guardrails
- Security-minded architecture reviews
AI Development Workflows
Modern AI tooling made useful for real engineering teams and real repositories.
- Claude Code, Codex, Cursor, and Copilot workflows
- Repo-aware prompt and harness design
- Long-running coding loops and agent supervisors
- AI review and validation checkpoints
- Team enablement and usage standards
- Codebase rescue when fast AI output becomes expensive debt
How I work
The standards I do not compromise on.
Useful over flashy
I care more about systems that help the business than features that sound futuristic but collapse under real operating conditions.
Honest technical judgment
If a plan is overcomplicated, overhyped, or pointed at the wrong problem, I will say so early. Good advice should save you money, not just win agreement.
Operable after launch
I want the finished system to be understandable, observable, and maintainable by the people who have to live with it after the deadline passes.
Career highlights
The path that shaped how I build.
IT taught systems thinking, cloud taught tradeoffs, product work taught delivery, and AI raised the leverage on all of it.
AI Systems & Full-Stack Engineer
DK Solutions
Building production AI systems - agents, RAG platforms, and tool-calling assistants - alongside full-stack product delivery for clients.
- Built a production AI consulting platform with streaming chat, tool calling, and structured intake
- Shipped grounded RAG products and schema-aware AI diagnostics tooling for clients
- Builds agent orchestration and workflow automation tied to real operations
- Rescues fragile codebases and sets up AI developer workflows (Claude Code, OpenClaw)
- Cuts AI spend with model routing, prompt caching, and hybrid local/cloud setups
AnthropicOpenAIVercel AI SDKAWSNode.jsPythonReactNext.js
Lead Developer (AI Tooling)
The Shift Weight Loss Program (Dr. Ashley White, MD)
Designing and deploying internal AI-powered tools that support clinical workflows and practitioner documentation.
- Designed and deployed internal AI tools optimizing clinical workflows and practitioner support
- Collaborates with multidisciplinary healthcare teams on accuracy, usability, and security
- Delivered scalable web-based solutions streamlining documentation and program management
Next.jsTypeScriptOpenAIAnthropicPostgreSQLAWS
Lead Developer
CamelCollect
Sole developer for a production platform combining a web app and Chrome extension.
- Architected and shipped full stack product end to end
- Built extension-to-web synchronization workflows
- Owns deployment, monitoring, support, and iteration
- Delivers ongoing product improvements based on user feedback
ReactNext.jsTypeScriptTailwind CSSSupabaseChrome Extension APIsREST APIs
Software Developer (Instructional Associate)
General Assembly
Mentored developers building full-stack projects while balancing foundations with emerging AI workflows.
- Guided students through full-stack architecture and debugging
- Integrated AI tooling into learning workflows without replacing fundamentals
- Ran technical reviews and troubleshooting sessions across many codebases
PythonReactDjangoNode.jsExpressMongoDBPostgreSQLOpenAI APIs
Web Developer
Dr. Anne Hussain
Led long-term digital delivery for a healthcare practice including content, infrastructure, and platform evolution.
- Implemented virtual care and online learning experiences
- Built conversion-oriented landing and campaign flows
- Maintained production systems and private data handling workflows
- Integrated AI-assisted content and support workflows
WordPressAWSJavaScriptPostgreSQLExpressSendy
IT Head
Samko and Miko Toy Warehouse
Drove digital transformation from traditional retail operations to scalable e-commerce systems.
- Led transition from in-person to online sales workflows
- Designed and managed production infrastructure
- Built reporting and operational automation for inventory and orders
- Owned security and backup/disaster recovery practices
AWSWordPressJavaScriptPostgreSQLE-commerce Platforms
Best fit
If the project needs to hold up, let's scope it properly.
I am a strong fit when you need more than a fast implementation and less than a bloated delivery chain.
- A senior builder to own an ambiguous project from product shape through launch.
- A custom AI feature that has to work with real documents, workflows, and business constraints.
- A private or local-first assistant setup with more control, automation, and security than an off-the-shelf tool provides.
- A rescue pass on a codebase that moved quickly with AI and now needs hardening, structure, and judgment.
- A technical partner who can talk through business tradeoffs and then execute the architecture personally.
Not for everyone
If you only need the cheapest possible implementation, I am probably not the right fit. I am best used when quality, judgment, maintainability, and fewer expensive mistakes matter more than lowest-bid output.
The fastest way to tell if I can help is a focused conversation about the system, the risks, and what done should actually look like.