Available for Opportunities • US/EU Authorized

Building Intelligent Systems
That Understand Context

AI architect specializing in context management, multi-agent orchestration, and enterprise ML systems. Architecting the future of AI development.

View Projects Get In Touch
30M+
Clients Served
90%+
Token Reduction
7+
Years Experience
3
Major Projects
Featured Work

Technical Innovation

From enterprise-scale ML systems to revolutionary AI architecture - building solutions that solve real problems.

DO

DarkOps

AI Context Architecture Platform

Revolutionary 10-layer context architecture solving fundamental AI development pain points. Features multi-agent frameworks, domain auto-detection, and session continuity achieving 90%+ token reduction.

Python Flask PostgreSQL Redis AI/ML
⚡ In Active Development
CH

Chedi.io

NEMT Routing Platform

Complete medical transport platform with sophisticated Vehicle Routing Problem algorithms. Optimizes routing efficiency and patient care with real-world logistics handling.

Python OR-Tools React PostgreSQL Twilio
🔒 Private Development
D2

DIOS2 Framework

Multi-Agent System

AI organizational framework with hierarchical agent structure. Features specialized agents (CTO, Technical Lead, Developer, UX Designer) managing complex technical projects autonomously.

AI Agents Architecture Automation Workflows
🧪 Research Framework
Career Path

Professional Journey

From enterprise operations to breakthrough AI innovation

2025 — PRESENT

DarkOps Innovation

Independent Research & Development

Breakthrough discovery in AI context management leading to revolutionary 10-layer architecture and multi-agent frameworks.

  • Invented contextual AI architecture solving fundamental development pain points
  • Built DIOS2 multi-agent framework for autonomous technical project management
  • Achieved 90%+ token reduction through session continuity optimization
  • Created new category: Contextual AI Research
2024 — 2025

Chedi.io Development

Independent Product Development

Built complete NEMT routing platform solving real-world logistics challenges for medical transport providers.

  • Implemented sophisticated Vehicle Routing Problem algorithms
  • Created robust frontend handling complex real-world variables
  • Developed for identified customer base in Colorado medical transport
  • Discovered AI development pain points that led to DarkOps innovation
2017 — PRESENT

Software Engineering Manager

Charles Schwab

Led technical initiatives across ML engineering, cloud migration, and data automation with models serving 10,000+ consultants and 30M+ clients.

  • ML Engineering: Productionalized attrition & upselling models in Salesforce
  • Cloud Migration: Automated on-premises to GCP migration frameworks
  • Data Automation: Built BI frameworks for data warehouse operations
  • Team Leadership: Delegated tasks and mentored technical team members
2012 — 2017

Education & Early Career

University of Colorado Boulder

BS Computer Science, BA Economics. Summer data science project with NBA OKC Thunder analyzing shot analytics.

Technical Stack

Expertise

Deep experience across AI/ML, system architecture, and product development

AI & Machine Learning

AI Architecture & Context Management Expert
Machine Learning Engineering Advanced
Multi-Agent Systems Advanced

System Architecture

Distributed Systems Design Advanced
Cloud Architecture (GCP/AWS) Advanced
Database Design & Optimization Advanced

Development & Leadership

Python/Flask/FastAPI Expert
Product Development Advanced
Technical Leadership Advanced
Get In Touch

Let's Connect

Currently available for senior technical roles, consulting opportunities, and innovative projects in AI architecture.

📧 ryan@rsmith.ai 💼 LinkedIn 🔗 GitHub