Ryan Sansbury Software Development | Data Analysis | Business Intelligence

Overview

Software developer who builds production analytics platforms, data pipelines, and AI systems end-to-end. Proven track record of owning projects from concept to deployment and shipping production systems that become the operating foundation for executive decision making. Strong focus on practical AI applications including agentic workflows, LLM orchestration, and intelligence systems that transform raw data into actionable business outcomes.

Focus Data Infrastructure & BI
Education BBA Economics
Continuing Education CS Coursework
Builds Complete Platforms

Git Commit History

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Professional Experience

Platform Engineering

Full-Stack

Full-stack analytics platform built from scratch for executive stakeholders. Python/Flask backend, React frontend, PostgreSQL database, and ML forecasting models with production Azure deployment. Includes CI/CD pipelines, automated testing, and role-based access control. Replaced expensive third-party systems.

Scope: Architecture, development, testing, deployment, and ongoing operations
Python React Flask Azure CI/CD Docker

Data Center Intelligence

Domain Expertise

Market intelligence platform with geospatial mapping via PostGIS, automated data pipelines, and verified contact enrichment. Full project ownership from initial scoping and architecture through production deployment and ongoing operations. Expanded across the organization after initial launch.

Stack: Flask, PostGIS, automated ETL, geospatial visualization
Python Flask PostGIS ETL Geospatial

Data Engineering & ML

Pipelines & Forecasting

Automated ETL pipelines integrating ERP and financial systems via RESTful APIs. Replaced manual reporting workflows with near-real-time data delivery. ML models for sales forecasting, churn scoring, and anomaly detection using XGBoost, Isolation Forest, and Random Forest. Built with error handling and automated monitoring.

Stack: Python, PostgreSQL, scikit-learn, XGBoost, REST APIs
Python PostgreSQL scikit-learn XGBoost ETL

AI & Agentic Systems

LLM & Orchestration

Multi-provider LLM orchestration with structured output, tool calling, and automatic failover across providers. Agentic workflows with deterministic scoring engines, predictive analytics, and confidence-gated automation. Private deployment on local infrastructure with open source models via Ollama.

Stack: FastAPI, Anthropic/OpenAI/Google APIs, Ollama, Pydantic, eval frameworks
Python FastAPI LLM APIs Ollama Agentic AI

Technical Skills

Production-tested technologies for building data platforms, analytics dashboards, AI integrations, and enterprise applications. Currently focused on data engineering, business intelligence, and AI agent systems.

Languages

Python Swift TypeScript JavaScript Kotlin SQL Bash HTML/CSS

Frameworks & Libraries

FastAPI Flask React Express.js SwiftUI Pydantic Astro SQLAlchemy

Data & ML

PostgreSQL PostGIS SQLite Pandas NumPy scikit-learn XGBoost ETL Pipelines Recharts Data Visualization

DevOps & Cloud

Docker Kubernetes CI/CD Azure AWS Redis Git REST APIs JWT OAuth2 RBAC

AI & Analytics

Agent Architecture Tool-Use Loops RAG Multi-Model Orchestration LLM Integration Local Inference Predictive Modeling Prompt Engineering

Domain

Data Engineering Business Intelligence Market Intelligence Enterprise B2B Stakeholder Management

Work Style

Impact-Driven Self-Directed Collaborative Remote-Friendly Detail-Oriented Fast Learner Problem Solver Clear Communicator

Featured Projects

Get in Touch

Say Hello

Please reach out if you want to:

  • Discuss software development
  • Share ideas or ask questions
  • Connect professionally
  • Just say hi

Collaborate

Interested in working together on:

  • AI Agent Systems
  • Platform engineering
  • Technical partnerships
  • Novel problems to solve