About Andrew Leger

My work covers front end, backend, mobile, and cloud systems. I have led multiple engineering teams and have helped define stable delivery practices across organizations using Azure DevOps, React, Next.js, .NET, and structured release cycles.

I build delivery systems that support clear expectations, early planning, and consistent quality. This includes sprint calendars, refinement rules, story writing, Definition of Ready and Definition of Done, and alignment between development and QA.

I support startups and established teams that need predictable release flow and strong onboarding for developers, designers, and QA. My background includes hands-on technical leadership and people management. I also focus on automation, template systems, and AI-backed tools that make engineering teams more efficient.

In 2025, I expanded into AI systems architecture. I design and build production AI features including predictive churn scoring, AI-assisted scheduling, intelligent quoting engines, and multi-agent orchestration systems. My approach treats AI as engineering, not magic. Every AI feature follows the same standards as any production system: tested, monitored, explainable, and cost-conscious.

Throughout my career at organizations like Medical Solutions and Fusion Medical Staffing, I've developed a practical approach to software engineering leadership. Rather than imposing heavy process overhead, I implement lightweight frameworks that teams actually use. This means sprint templates that take minutes to complete, refinement sessions with clear agendas, and automation that removes repetitive work.

I believe the best delivery systems are invisible to teams. When processes work correctly, engineers focus on solving problems rather than fighting bureaucracy. My solutions reflect this philosophy, each one designed to reduce cognitive load while improving outcomes.

My technical foundation includes a Bachelor of Science in Computer Science from Western Governors University and Google Cybersecurity Specialization. But more importantly, I've spent over a decade writing code, reviewing pull requests, debugging production issues, and leading teams through complex releases. This hands-on experience informs every template, guide, and framework I create.

I work across the full stack with expertise in React and Next.js for modern web applications, .NET for enterprise backend systems, and cloud platforms for scalable infrastructure. My DevOps practice includes CI/CD pipeline design, automated testing strategies, and deployment workflows that balance speed with safety.

For project management, I have configured and optimized Azure DevOps and ClickUp for multiple teams. These tools become force multipliers when properly structured: custom fields that capture the right data, automation that eliminates manual work, and dashboards that surface real insights without requiring constant updates.

My AI work includes OpenAI API integration, multi-agent orchestration with custom tooling, ML-backed predictive pipelines, and LLM-powered business logic. I have built production AI features across multiple SaaS products: predictive churn models, intelligent service scheduling, and automated quoting systems that generate quotes in under 90 seconds from customer intake.

This site shares my work, my templates, and the delivery patterns used across teams.

The templates and guides available here represent years of refinement. Every sprint calendar format, every Definition of Done checklist, every refinement agenda has been tested with real teams facing real deadlines. When you download a resource, you're getting something that's already proven to work in production environments.

Beyond templates, I provide consulting for teams that need custom implementations. This includes workflow design, tool configuration, team training, and ongoing support as your delivery system evolves. Whether you're a five-person startup or a fifty-person engineering department, I can help you build processes that scale.