Kyle Avrett

Scaled a software-enabled mobile IV therapy company by building core teams and processes across engineering, marketing, finance, operations, and compliance

• Increased revenue by 53x over 16 months by expanding and formalizing the company’s operations
• Built the full go-to-market engine, increasing qualified lead volume by 9x
• Personally built the company’s core software platform, improving booking speed by 83% and booking conversion rates from 40% to 91%
• Launched marketing campaigns with conversion rates between 27% and 71%, with ROAS between 12.38x and 26.31x
• Implemented mobile logistics networks, warehouse workflows, inventory controls, and accountability systems that improved booking response times by 67% and increased field capacity by 250%
• Migrated mission-critical systems from cloud infrastructure to on-premises infrastructure with zero downtime, decreasing ongoing operational costs by 94%
• Created financial models, budgets, and cash flow forecasts that improved runway visibility by 4 months and reduced operating risk by 17%
• Reported financial performance and operating briefs to the board of directors and shareholders

Fulfilled the role of Chief Operating Officer for multiple startup and scale-up clients to help them double their revenue by building core tools and processes across marketing, operations, and finance

• Translated ambiguous founder goals into roadmaps, technical workflows, staffing needs, KPIs, and execution systems
• Designed dashboards, leadership reviews, decision frameworks, and accountability loops that increased operating leverage and reduced founder dependency
• Built systems across marketing, sales, delivery, finance, reporting, customer engagement, and team coordination
• Partnered with founders on positioning, pricing, delivery capacity, and process design for revenue expansion
• Made build-vs-buy decisions for workflow automation, tool selection, vendor management, and operational architecture

Founded and successfully exited a software company selling SaaS products to mechanical engineering companies

• Built the teams myself, including hiring, coaching, performance management, technical direction, and delivery execution
• Established engineering practices across CI/CD, automated testing, observability, security, alerting, and code reviews
• Led product and engineering end-to-end across the product roadmap, technical architecture, implementation, infrastructure, and delivery
• Architected the software platform for low-volume, high-complexity engineering workflows where each customer required unique process modeling for project management, work management, itemized billing, and invoicing
• Built the full stack hands-on using TypeScript, Vue, Nuxt, Python, Django REST Framework, PostgreSQL, Redis, Docker, Kubernetes, and Ansible

• Deployed serverless web applications on AWS Lambda using event-driven architectures with AWS SNS/SQS
• Created RESTful API endpoints using OpenAPI and implemented CI/CD pipelines with GitHub Actions
• Implemented observability pipelines with Prometheus and Grafana to improve system visibility and incident response
• Delivered user stories in JavaScript and TypeScript on Node.js using Agile practices with Jira
• Reduced new account fraud by integrating with external vendor APIs and strengthening account validation workflows

• Managed a distributed team of senior software engineers responsible for delivering internal software initiatives
• Collaborated with stakeholders to create product roadmaps and broke them down into technical deliverables and a sequence of delivery milestones
• Managed delivery of project milestones using Jira while serving as the technical escalation point for the team
• Created CI/CD pipelines using Jenkins and developed frontends in HTML, CSS, and JavaScript

• Led software projects through the full software development lifecycle, making long-term technical decisions for maintainability and extensibility
• Collaborated with cross-functional stakeholders to define requirements and deliver internal microservices using Python and Django REST Framework
• Created Python-based monitoring software to reduce response time to network outages and improve network visibility
• Worked closely with implementation and operations teams to deliver stable, reliable software for internal users
• Used Agile and Redmine for development while maintaining legacy microservices written in Groovy and Python
• Built frontends using HTML, CSS, and JavaScript

• Founded a software company and built the initial product, infrastructure, data model, and business operations
• Built web crawlers, scrapers, and parsers to gather, normalize, and store online content in a custom MySQL schema
• Developed backend and user data workflows using PHP and MySQL, with Gradle and Groovy supporting dependency and build management
• Built frontend interfaces using HTML, CSS, and JavaScript and used load balancers to distribute HTTP traffic
• Implemented continuous integration in Jenkins and integrated external payment authorization APIs
• Created software design documents, feature plans, technical deliverables, budgets, receipt tracking spreadsheets, and legal compliance documents

• Created automated installers using Python and Sikuli to support internal installation and integration workflows
• Used test-driven development to identify inconsistencies in configuration and log files
• Set up Jenkins CI jobs for internal teams and used JUnit for integration tests validating system interactions
• Participated in Agile sprints, stand-ups, Kanban planning in Trello, and technical demos

• Installed and configured hardware on personal computers and supported departmental network integrations
• Maintained central server systems and configured applications based on departmental requirements
• Deployed hard drive images and supported reliable computing environments for university users

• Built a AI field-guide platform for distributed healthcare teams using TypeScript, Vue, Quasar, Python, FastAPI, FastMCP, LangChain, Langfuse, PostgreSQL, pgvector, Redis, Celery, S3, Docker, and Kubernetes
• Designed RAG workflows to ingest operating procedures and company knowledge into searchable guides with source-backed answers
• Built the MCP service layer exposing approved knowledge sources, enabling AI Agents to retrieve current SOPs, policies, checklists, and training docs
• Implemented guardrails for healthcare including scoped retrieval, source citation, and limits around unsupported clinical or operational claims
• Currently deployed in production with paying customers