Engineering Practice
Application development, cloud and on-prem architecture, and security engineering — delivered as working systems, not deliverable documents.
Capabilities
Most engagements draw on more than one. The architecture, the code, and the security posture are decided together, because deciding them separately is how systems end up fragile.
Full-stack systems that hold up in production.
APIs, data pipelines, and the interfaces on top of them — including AI and LLM integration where it earns its place rather than where it demos well. Every system ships with the logging and audit trail needed to answer “what did it actually do?” months later.
Estates designed once, correctly, then automated.
Multi-account cloud organizations, landing zones, identity, and guardrails — defined in code so the design and the running environment cannot drift apart. We work in hybrid and fully on-prem estates too, where the cloud-first answer is the wrong one.
Public surfaces built for the traffic and the threat model.
Sites and internal tools, plus the DNS, TLS, and CDN architecture behind them. We choose the simplest thing that meets the requirement — often that is static content at the edge, with no server to compromise.
Decided at design time, not audited in afterward.
Identity and access, secrets management, least-privilege boundaries, and audit logging built in from the first commit. We also review existing estates and say plainly what we find.
Approach
These are not preferences. They are the practices that decide whether a system is still trustworthy a year after handover.
Every pipeline is validated against the messy production corpus, not a clean fixture. Systems that only work on tidy inputs fail on contact with reality — usually silently, which is worse than loudly.
A system that cannot tell you whether it answered correctly is a system you cannot trust. Success and failure are both recorded, because an operation that quietly returns nothing looks identical to one that was never asked.
Fewer moving parts means fewer things to patch, monitor, and explain. We reach for managed services and static delivery before servers, and for servers before clusters.
Where credentials live, what each component can reach, and what gets logged are settled before implementation — not retrofitted after a review finds them missing.
Selected Work
Described by capability and outcome. Client names, matters, and records are never published.
A production system that ingests county land records, extracts and normalizes instrument data, and assembles research output for professional review. Combines OCR, full-text search over a purpose-built index, and LLM analysis with per-call cost accounting and an audit trail on every query. It runs unattended — a specialist reviews it rather than operates it.
An organization built from nothing to a governed estate: separate management, production, and development accounts, service control policies, single sign-on, and infrastructure defined in code. Public endpoints are fronted by a CDN with managed certificates, and no origin is exposed directly to the internet.
Always-on services on owned hardware, published securely through a private mesh network and a cloud edge — the operational model for teams that need cloud reachability without moving their data into someone else’s datacenter. Including the unglamorous parts: log rotation, service supervision, backup verification, and alerting that fires before a user notices.
Engagements are described without attribution by default. Where a reference is appropriate, it is arranged directly with the client.
Public Sector
StingrayIO’s federal experience is personal rather than corporate, and we would rather say so plainly than let you find out later. The firm is newly established. Its principal holds an active Top Secret clearance and has delivered inside cleared and regulated environments.
Contact
Tell us what you are trying to build, or what you are worried about. We will tell you honestly whether we are the right fit.
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