Predictive budget-spend work turned campaign and revenue signals into timely action.
Read case studyFounder-led AI development
Turn AI ideas into working software.
DevRocket helps product and operations teams automate high-friction work, unlock internal knowledge, and launch AI features. Work directly with a senior engineer from scope through production.
Resume-backed outcomes
Real-world examples
Resume-backed examples from prior engineering work. Each metric links to the project context below so the result stays attached to the system that produced it.
AI instructor validation replaced repetitive access checks with real-time search and webhook automation.
Read case studyThe same instructor validation system removed approximately 5,000 hours of manual work each year.
Read case studyAI office-hours automation used OCR, APIs, and Salesforce integration to reduce manual operations.
Read case studyNode and GraphQL API modernization made production product surfaces faster and more reliable.
Read case studyInfrastructure and CI/CD work reduced test-build-deploy time for the engineering workflow.
Read case studyWhat DevRocket builds
AI systems for real workflows.
DevRocket builds the model integration and the software around it, from user experience and APIs to data, deployment, and evaluation.
Workflow automation
Automate high-friction operational work while keeping people in the right review points.
- Workflow design
- System integrations
- Review queues
Knowledge and RAG systems
Turn internal documents and scattered expertise into grounded answers with source context.
- Retrieval pipelines
- Vector search
- Answer evaluation
Document AI
Extract, validate, and route information from documents into the systems where work happens.
- OCR workflows
- Structured extraction
- Exception handling
AI product features
Add AI features to real products with the UX, API, auth, and data layer they need.
- Product UX
- API design
- Launch scope
Constrained agent workflows
Build tool-using agents with clear boundaries, fallback paths, and human approval.
- Tool orchestration
- Guardrails
- Escalation paths
Production engineering
Make AI software reliable with evaluation, monitoring, deployment, security, and handoff.
- Evaluation
- CI/CD
- Observability
Secondary offering
Advisory and team enablement
Advisory and workshops are available when a team needs alignment on AI architecture, workflow design, RAG quality, evaluation, or production delivery before or after a build.
Portfolio
AI systems shipped into production.
Representative examples from Preston's prior engineering work. Details are limited where client and employer work is confidential.
How it works
A direct path to production.
Start with the workflow and measurable outcome, then ship the smallest useful version before hardening it for real users.
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Validate the opportunity
Identify the workflow, data, risks, users, and measurable outcome.
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Build the working version
Ship a small end-to-end system using representative data and real integrations.
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Launch and improve
Add evaluations, guardrails, monitoring, security, documentation, and deployment.
Founder
Work directly with the builder.
Founder and AI software engineer
DevRocket is led by Preston Wallace, a senior full-stack engineer working across AI, product, backend systems, data, and cloud infrastructure.
Clients work directly with the engineer responsible for architecture, implementation, deployment, and handoff.
His experience includes production LLM systems, RAG pipelines, agents, React and Next.js applications, Node and Python services, PostgreSQL, AWS, GCP, Docker, Kubernetes, and CI/CD.
AI plus product engineering
AI work is connected to product UX, APIs, data, and the operational workflow around it.
End-to-end ownership
Architecture, implementation, deployment, documentation, and handoff stay with one senior engineer.
Clear communication
You get plain-language tradeoffs, practical scope, and documentation your team can use after launch.
Testimonials
Clear thinking. Strong delivery.
Real notes from people who have worked with Preston and seen the way he explains, builds, and delivers technical work.
I've learned a ton from Preston and recommend if anyone reading this has the opportunity to work with him in any capacity they should take it!
Preston is a gifted Software Engineer and a thought leader in technical education, training, and communication.
Preston's impressive experience and skill as a developer was consistently highlighted through the deep knowledge of web development he shared.
Preston built our organization's website completely from scratch. Whenever revisions were needed — and there were many — he responded quickly and was always incredibly helpful. He was happy to jump on Zoom calls to walk through options or help troubleshoot issues. He also took the time to patiently explain the backend functions in a way that was easy for a non-technical person to understand.
Preston was instrumental in helping us build ChatDTC, our custom-tailored AI chat solution. He quickly understood our product and business needs, brought strong technical execution, and helped us move fast under tight deadlines.
Start a project
What should AI do for your business?
Share the workflow, product idea, or operational bottleneck. You'll get a candid view of feasibility, a practical starting scope, and the best path to production.