I architect and deliver systems from infrastructure to product. I’m most useful while owning problems that span the entire stack.

Nearly 20 years of pre-AI experience that I use to guide agentic workflows.

• End-to-end system architecture and implementation (frontend, APIs, workers, databases, infrastructure)
• Platform enablement: shared tooling, engineering standards, and guardrails that let product teams ship safely
• AI-assisted development systems: harness engineering, agent orchestration, deterministic guardrails, automated auditing
• Healthcare and regulated data: PII pipelines, SOC 2 and HIPAA compliance
• Technical leadership, mentoring, and growing engineering teams
• Infrastructure management (AWS, Terraform)

Experience

Float Health — Staff Software Engineer

December 2023 – Present

• Designed, architected, and built Float’s AI engineering platform end to end as its sole engineer: agent harness, context system, and an orchestrator that routes agents through ordered deterministic guardrails across the entire codebase
• Delivered the platform as an internal product that enables non-technical product and data team members to safely ship working features and fixes to production
• Wrote AST-based guardrails and custom linting rules to deterministically enforce architecture and coding standards on every agent change
• Improved agent success rate on legacy code/tech debt by scoping guardrails down to the modified code
• Used the AI platform to rebuild the scheduling system and automated offers in 1 month; automated offers originally took 3 months, and a scheduling rewrite had previously been considered infeasible
• Designed and delivered a real-time nurse-opportunity matching system using Go and gRPC across multiple services
• Migrated from EKS to ECS, then rebuilt CI/CD with GitHub Actions to cut deployments from hours to minutes
• Reduced MySQL response times 60% through read replica architecture and query optimization
• Owned incident response and led post-mortems that drove lasting reliability improvements and established on-call practices and runbooks
• Mentored engineers via 1:1s, reviews, and feedback sessions

MTN Development LLC — Owner

February 2017 – Ongoing

• Ran independent consulting practice focused on AWS infrastructure and Terraform adoption. Managed multiple concurrent client engagements from discovery through delivery
• Contributed to open source Terraform modules at Cloud Posse, building reusable patterns for cloud transformation on AWS
• Stood up SOC 2 and HIPAA compliance programs in Vanta for startup clients, including a healthcare startup, and wrote and customized their security policies
• Brought clients from zero Terraform experience to self-sufficient — delivering production infrastructure while training their engineers to maintain it
• Rebuilt fragmented CI/CD pipelines across client organizations, replacing manual processes with automated builds and deployments via Jenkins and GitHub Actions

Kanini — Principal Cloud Engineer

March 2023 – August 2023

• Brought in to build a Cloud Engineering practice from scratch
• Defined hiring process, interview criteria, and onboarding documentation alongside leadership and recruiting
• Built an Azure subscription vending pipeline using GitOps and Terraform, replacing a manual ticket-based process for the engineering team
• Embedded with struggling client engagements as a subject matter expert to identify gaps, provide training, and get projects back on track

CloudKnit — Founding Engineer

April 2022 – March 2023

• Redesigned the platform architecture from single-tenant to multi-tenant, implementing changes across backend services, Kubernetes operator, Argo CD, React frontend, and database
• Replaced a self-managed Dex identity provider with Auth0 and designed self-service account registration, replacing manual onboarding
• Cut deployment time from over an hour to roughly five minutes by replacing manual processes with GitHub Actions and automated Helm chart deployments

Optum — Lead Software Engineer

June 2020 – February 2021

• Designed and led implementation of an event-driven PII data ingestion and validation platform on Azure using Data Factory, Databricks, and Azure Functions
• Built serverless validation pipelines processing hundreds of gigabytes per batch, with Spark handling row-level validation across the Databricks cluster
• Spearheaded Terraform adoption talks across an engineering organization of 600+ engineers during their migration from on-prem to Azure
• Engineering Lead on a team of five

Earlier Roles

Details available on request

• LiveSchool — Senior Backend Engineer (February 2019 – March 2020)
• Contino — Senior DevOps Consultant (October 2018 – February 2019)
• Rackspace — Platform Engineer (October 2016 – September 2018)
• Change Healthcare — Senior Software Engineer (April 2016 – August 2016)
• Kanini — Senior Software Engineer (October 2014 – April 2016)
• GISi — Senior Software Engineer, Contract (April 2014 – September 2014)
• Titan Cloud — Senior Software Engineer (April 2013 – April 2014)
• Kanini — Software Engineer (April 2010 – April 2013)
• PlantCML/Dialogic — Software Engineer (September 2007 – February 2010)

Skills List

Go, gRPC, REST, MySQL, TypeScript, Node.js, React, PostgreSQL, AWS (ECS, EKS, Lambda, RDS, S3, CloudFront), Azure (Data Factory, Databricks, Functions), Terraform, Kubernetes, Docker, Argo CD, Helm, GitHub Actions