Divinari
Faith-integrated language learning and cultural heritage platform across mobile and web.
A production faith-integrated language-learning platform demonstrating mobile, web, AI, cloud, localization, and subscription engineering.
I'm Adam Blansett. I help founders and small teams build, fix, and scale web, mobile, and AI software—without the agency markup or the six-month rebuild.

Give me repo access. In two business days you get a prioritized fix list covering architecture, security, reliability, and deployment—plus a 45-minute walkthrough call. No open-ended discovery.
Credited toward any follow-on project.
Strict NDA. Candid, code-level findings—not a slide deck.
Proven Architecture in Mission-Critical Environments
Real-world systems must survive unreliable networks, peak load spikes, and strict regulatory standards. I bring battle-tested experience from demanding enterprise domains.
Spring Boot services on Fifth Third Bank’s authorization team, part of the authentication infrastructure behind the bank’s logins, with SSO, identity integrations, and HashiCorp Vault secrets management.
Node.js APIs for GE Aviation maintenance and fleet data with ~95% automated test coverage, logistics software at LeanCor, and three years administering RabbitMQ across thousands of queues.
Laravel and Angular applications at CareStar used to determine eligibility for government services, with framework modernization and database performance work in a regulated environment.
Self-hosted open-source LLMs (Llama, Qwen, DeepSeek) on llama.cpp, LoRA fine-tuning, and model distillation pipelines, plus structured output validation and evaluation suites.
Three ways to get started
Every engagement starts with one of these. The full technical scope lives on the service pages.
For apps that break under real traffic, have grown brittle, or need an honest health check.
Production triage · Codebase audits · Modernization
Web and mobile MVPs, from idea to app store — designed for production from day one.
Full-stack web (Next.js) · Mobile (Flutter) · MVP builds
AI features and integrations that save your team hours — without hallucinated outputs or runaway token bills.
AI & LLM integration · Workflow automation · APIs & event queues
How I approach working together, from the first conversation through delivery.
You'll know what I recommend, why it matters, and what comes next.
We'll weigh fixes, rebuilds, and simpler alternatives before adding complexity.
You'll work directly with the engineer doing the work, not through an account manager.
Illustrative design content
These testimonial-style statements illustrate my engineering approach. They are sample copy, not verified customer feedback.
Adam takes a thoughtful approach to software development, considering the entire application rather than just individual features. He focuses on building solutions that are practical, maintainable, and ready to evolve with business needs.
Not a customer endorsement.
Adam approaches AI from an engineering perspective, focusing on practical applications, useful integrations, and workflows that solve real problems rather than adopting technology for its own sake.
Not a customer endorsement.
Adam understands the importance of reliable backend systems and well-designed APIs. His approach considers architecture, integration, and maintainability alongside the immediate requirements of a project.
Not a customer endorsement.
Adam breaks complex technical challenges into manageable parts and works systematically toward solutions. He considers the underlying causes of problems instead of relying on quick fixes.
Not a customer endorsement.
Adam considers the infrastructure behind an application as carefully as the application itself. Reliability, deployment, security, and long-term maintainability are important parts of his engineering approach.
Not a customer endorsement.
Adam looks at how the different components of a system fit together, helping guide technical decisions with the bigger picture in mind. His focus is on building software that can be maintained and extended over time.
Not a customer endorsement.
End-to-End Ownership, Grounded in Production Reality
Owning projects from database schema design and API contracts to responsive frontends, state management, and CI/CD pipelines.
Transforming LLMs into reliable features via strict structured schemas, evaluation suites, deterministic fallbacks, and cost controls.
Flutter cross-platform apps with local SQLite storage, optimistic updates, and background conflict resolution that thrive offline.
Pragmatic static-first hosting, serverless workers, idempotent webhooks, and production security headers without bloated cloud bills.
Real-World Engineering Case Studies
Faith-integrated language learning and cultural heritage platform across mobile and web.
A production faith-integrated language-learning platform demonstrating mobile, web, AI, cloud, localization, and subscription engineering.
Proprietary automation platform for scalable, quality-focused content operations.
An internal engineering project demonstrating AI-assisted SEO workflows, localized content operations, analytics, and scalable publishing infrastructure.
Writing code is the easiest part of engineering; maintaining it, scaling it, and ensuring it delivers measurable business value is the real challenge.
I choose architectural patterns that match the actual problem. A well-structured static site or modular monolith often outperforms an unmanageable microservice cluster.
Code that only works on a local machine is incomplete. Automated tests, type safety, idempotent workflows, and deterministic deployments guarantee continuous uptime.
Engineering exists to solve user problems and power sustainable businesses. Technical decisions must protect runway, accelerate iteration, and derisk delivery.
Insights on Systems, AI & Mobile Architecture
Learn how to inventory applications, quantify technical debt, evaluate operational risks, and build a defensible modernization roadmap before rewriting.
Engineering review of Emergent AI app building: evaluating architecture, test coverage, deployment risks, and trade-offs of AI-generated web applications.
Whether you need to build a new product from scratch, audit an existing codebase, or implement high-stakes AI features, let’s schedule a 30-minute introductory consultation.