Staff / Senior Systems & Fullstack Engineer
20+ Years of Engineering · Distributed Systems · Cloud Infrastructure · AI-Native Tooling

I am a pragmatic, production-focused systems builder with over two decades of experience delivering high-availability software. My career spans distributed backend systems, cloud-native infrastructure, automated developer tooling, and modern full-stack systems.

I specialize in AI-native engineering—designing and deploying local-first AI workflow orchestration platforms, durable execution systems, and persistent context pipelines. I focus on engineering rigor, operational maturity, and building systems that run predictably and reliably in enterprise production environments.

• 20+ Years of Hands-on Engineering: Proven track record spanning startups to scale-ups, building resilient systems from monoliths to microservices.
• Production & SRE Mindset: Deep focus on operational reliability, high observability (metrics, tracing, logs), auto-scaling, and secure, auditable pipelines.
• AI-Native Engineering Partner: Specializing in deterministic, state-driven AI workflow integration, async pipeline automations, and scalable ML infrastructure.
• Low-Risk, Senior Contributor: Calm, technical leader who prioritizes predictable shipping, clear system architecture, and robust automated test coverage.

"I've worked with Mike for over five years across multiple projects. He's a highly qualified engineer, but what sets him apart is how quickly he learns and understands new domains." "As a product manager, when I bring him a feature or tool that needs to be built, the first thing he does is start asking the business questions alongside the engineering questions. That's rare — and it can't be quantified." "When you have an engineer who's solid on engineering principles, can build and ship deliverables quickly, and also understands the business context behind every ask, that's what makes someone a unicorn in this field." — Ryan Bent, Sr. Product Manager, Signet Corp.

• Distributed Systems & Architecture: Designing high-throughput, fault-tolerant backend architectures, resilient event-driven systems, and clean, scalable APIs.
• AI Workflow Orchestration & ML Infrastructure: Developing reliable, state-machine-driven task orchestration, production RAG pipelines, vector search optimization, and deterministic prompt/chain engineering.
• Production Engineering & DevOps: Infrastructure as Code (Terraform), container orchestration (Docker, Kubernetes), automated CI/CD release pipelines, and full-stack observability.
• Developer Experience (DX) & Tooling: Designing custom CLI utilities, automated build/test workflows, and git-integrated development workflows.

• Languages: TypeScript/JavaScript, Rust, Python, Go, SQL, Bash
• Frameworks & Runtimes: Node.js, Bun, Next.js, FastAPI, React
• Data & Vector Stores: PostgreSQL, SQLite, Redis, Pinecone, pgvector
• Cloud & Infrastructure: AWS, GCP, Docker, Kubernetes, Terraform, GitHub Actions
• AI Orchestration: Anthropic/OpenAI SDKs, LangChain, semantic routers, custom state-machine engines

helloam-agentic-kanban — Local-first AI workflow orchestration platform with durable memory, async task execution, and state-machine-driven automation.

• Deterministic Execution: Uses robust finite-state machines to manage and trace execution paths, avoiding unpredictable loops.
• Git-Driven Auditability: Every state change and task action generates an auditable, isolated git commit for total execution transparency.
• Stateful Workflow Execution: Integrates high-performance context retrieval and local relational storage for accurate, long-running sessions.
• Developer-Centric: Fully controllable via CLI, designed to integrate seamlessly into existing terminal and CI/CD workflows.

Visualizing execution states and task loops:

• Portfolio & Blog: augmentedmike.com
• Project Demo: helloam.bot
• Email: augmentedmike@gmail.com
• Social: X / Twitter · GitHub