What We Do

When something is slow, flaky, or buckling under load: concurrency redesign, caching strategy, query and N+1 optimization, and observability. We diagnose the real bottleneck and fix it — with measured results.

Healthcare (HIPAA/HITECH, PHI handling, audit logging) and financial services (regulatory reporting, compliance). We've shipped in both — so compliance is designed in from day one, not bolted on before launch.

API design, full-stack web apps, microservices, and async services in Python — FastAPI, Django, Flask, SQLAlchemy, PostgreSQL — plus incremental modernization of legacy systems that have outgrown their first design.

LLM features and document automation where errors are costly. We're model- and vendor-agnostic: local open-weight models for privacy and cost control, frontier APIs when they earn their keep, or self-hosted inference on your own hardware. Outputs are correctness-gated and audit-logged, so AI ships only when it's verifiably right — and you're never stranded when a single provider deprecates a model.

The plumbing that keeps high-stakes systems standing: containerized deployment and CI/CD (AWS, Azure, GCP — Docker, Kubernetes, Terraform), structured telemetry, and incident-ready monitoring.

A script you can invoke on command — scheduled uploads to cloud storage, triggered jobs, recurring data tasks — so a manual chore stops eating your team's hours.

For tedious, repeated industry or government filings: we structure your form inputs, build templates, and populate them from a web form — cutting labor while holding the quality your overseers require.

Porting off an out-of-date engine or SQL dialect (e.g. Oracle to PostgreSQL), or moving an old on-prem server to the cloud — instantiate, export, convert, and import, from a gigabyte to big-data throughput.

Turn a sprawl of .docx, Excel, and PDF reports into a queryable database — reading, parsing, and loading the contents so the important data lives in one place instead of scattered across email and shared drives.