What we build
Three capability areas. One engineer who's worked where most don't get clearance.
AI across the entire software development lifecycle
Adopting AI isn't about replacing your process — it's about making every stage of it sharper. We design and build AI integrations that fit naturally into planning, development, review, testing, and deployment workflows.
From LLM-powered automation hooks to custom tooling built on leading platforms — GitHub, GitLab, Claude, Codex, and others — we help teams move faster without cutting corners.
What this looks like
- →AI-assisted code review integrated into GitHub and GitLab workflows — feedback posted inline, automatically
- →LLM integrations across the SDLC: planning, development, testing, and deployment
- →Custom automation built on leading AI platforms — Claude, Codex, and others
- →AI-powered internal tools tailored to your team's specific needs
Infrastructure that scales. Software that ships.
From greenfield architecture to legacy modernization, we design and deliver cloud-native systems on GCP — provisioned with Terraform, deployed with GitHub Actions, built to run without hand-holding.
We've shipped at scale that matters: 65,000 requests per second at origin during Best Buy's Black Friday peak. We've built real-time service dependency graphs for Target. We've architected rule engines on GCP that process millions of relationships without breaking a sweat.
What this looks like
- →GCP architecture and infrastructure-as-code (Terraform)
- →Cloud Run, Firebase, Firestore, Pub/Sub, Spanner, BigQuery
- →Mobile apps — Android and iOS
- →Backend services — Java, Python, Node.js, Golang
- →CI/CD pipelines with Workload Identity Federation — no keys, no leaks
Google Cloud Certified Professional Cloud Architect. Named inventor on 6 US patents in edge computing and content personalization. Enterprise clients include Best Buy, Target, Prime Therapeutics.
Software that runs on the edge — and the things beyond it
Most software shops stop at the cloud. We go further.
We've built LoRa hardware at the company that makes LoRa gateways. We've written firmware for precision targeting systems at Lockheed Martin. We've secured BLE communication with implantable medical devices at Medtronic — in environments where a security flaw isn't a bug report, it's a patient risk.
If your problem involves a physical device, a sensor, a wireless protocol, or hardware that needs to talk to a cloud backend — we've been there.
What this looks like
- →IoT device firmware — C++, STM32, embedded Linux
- →LoRa / LoRaWAN networks — long-range, low-power sensor deployments
- →BLE protocol design and implementation — including security-critical applications
- →Full-stack delivery from device to cloud backend
- →Cybersecurity for connected and embedded systems (partner network)