Software built to government-grade standards, from first principles to production.
CypressBit is a Hispanic-owned, Texas HUB certified small business delivering custom Python software, open-source platforms, cloud deployment & maintenance, and applied AI/ML for federal, state, and commercial clients.
A senior engineering team, not a staffing pipeline.
Founded in San Antonio in 2014, CypressBit designs and builds custom software, open-source platforms, and applied AI/ML systems for public-sector, education, and commercial clients. We work as a small, hands-on team of principal-level engineers — the people who scope your project are the people who ship it.
As a Hispanic-owned, minority-owned small business and Texas HUB certified firm, we bring both technical depth and socioeconomic contracting credentials to federal and state engagements, whether as a prime on the open market or as a subcontractor/teaming partner.
Ruben Quinones
15+ years building Python, cloud, and AI/ML systems — formerly Senior Software Architect at Cisco (Duo Security) and Principal Software Engineer at ClearDATA. Creator of SMBS, our open-source Django platform, and AWS/GCP certified.
Four disciplines, one team.
We don’t hand off between departments — the same engineers carry a project from architecture through deployment and long-term maintenance.
Custom Software
Python/Django applications, REST APIs, and web/mobile platforms (React, Flutter) engineered around your workflows, not a template.
Open Source Engineering
We build and maintain SMBS, an MIT-licensed modular Django platform, and contribute transparent, auditable code — a natural fit for government transparency requirements.
Deployment & Maintenance
Docker, Kubernetes, CI/CD, and infrastructure on AWS and GCP, with ongoing operational support — we stay accountable after go-live.
Applied AI, Computer Vision & ML
Custom-trained PyTorch object-detection and image-recognition models, data pipelines, and Py-Shiny analytical dashboards — from computer vision to economic/input-output modeling.
The stack behind the work.
Languages & Frameworks
Cloud & DevOps
Data & AI
Quality & Compliance
Built for federal and state procurement.
CypressBit approaches government work as a documentation-first, standards-first discipline. Our current engagement is a response to a Federal Highway Administration (FHWA) RFI to modernize the JOBMOD 4.0 tool — replacing spreadsheet-based economic modeling with a transparent, Python-based platform.
- Project controls: kickoff within two weeks, draft/final work plans, risk logs, biweekly meetings, and monthly reports.
- Full traceability — every data source, coefficient, and assumption tied to version and validation status.
- Section 508 accessibility practices applied to dashboards, documents, charts, and downloadable outputs.
- Available as a prime on the open market or as a subcontractor / teaming partner.
Certifications & Status
We publish our work.
Transparency isn’t a compliance checkbox for us — it’s how we build. Two of our platforms are public and auditable.
SMBS — Scalable Modular Backend System
An MIT-licensed collection of modular Django applications — CMS/pages, blog, forms, inventory, accounts, and more — that powers this website and our client platforms. In production since 2021.
github.com/cypressbit/smbs_appsTransportation I-O Modeling Lab
A self-funded R&D prototype demonstrating a transparent, Python-based input-output economic model — Leontief inverse, employment coefficients, a Py-Shiny dashboard, tests, and CI — built to align with FHWA JOBMOD modernization work.
github.com/cypressbit/cypressbit-transport-io-labRepresentative work.
Al Puente
Cross-border wait-time data platform serving roughly 100K–300K monthly users, with high-availability hosting and analytics pipelines.
SMBS Platform
Modular Django CMS, blog, and commerce framework used across CypressBit client deployments, including this site.
Letter Order
Multi-tenant Django/React/Flutter platform for dyslexia intervention with bilingual, accessibility-aligned workflows.
CompleteArchery
Custom PyTorch object-detection model reads arrow holes from a target photo; unsupervised clustering auto-groups shots for instant scoring feedback.
Transportation I-O Lab
Self-funded Python economic modeling platform demonstrating FHWA JOBMOD 4.0-aligned capability.
Join a small team doing serious work.
We’re always open to hearing from Python/Django engineers, Py-Shiny developers, applied economists, and AI/ML practitioners who want government-grade work without the bureaucracy.
Ready to modernize your systems?
Tell us about your project, RFI, or RFP — we’ll respond with a clear technical approach, not a sales pitch.