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Mike Cherneski · Enterprise Architect & builder · Asheville, NC

Enterprise Architect by trade. Builder by nature.

Helping forward-looking teams adopt AI and modernize the enterprise stack. Technology holds immense promise. Capturing it takes a strict foundation. I work on both.

Work with meSee projects

Selected work

The work comes first.

Serverless Architecture

Serverless AI-Native Portfolio

A static-first portfolio architecture that serves humans fast and gives agents curated context through Markdown reports and structured data.

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Blockchain Engineering

EthSafari Coordination Bot

A serverless Telegram bot that helped a small coordination team keep 300+ developers informed at EthSafari in Kenya, measurably reducing the load on the human support team.

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Blockchain Engineering

MetaCamp Community Bot

A serverless Telegram bot for MetaCamp, two-week on site founders' retreat and ongoing community: contribution points, a shared event calendar, and bot-proxied requests to program directors, credited with strengthening community cohesion.

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Blockchain Engineering

Alternun: Tokenizing Gold In Place

Advisor and interim CTO for a protocol tokenizing in-ground gold reserves: whitepaper review, technical architecture, partner introductions, and delivery planning.

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Blockchain Engineering

Web3 Game Platform Architecture

Multi-year ownership of a tokenized game platform: real-time on-chain event processing with redundant providers, multi-region data infrastructure, and architecture redesigned six times as scale demanded.

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Product & Architecture

Moxa

A fintech company I co-founded and led technically: a budgeting product for variable income, and the architecture of human enablement that inspired the Intelligent Business framework. The company is shutting down in July 2026.

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Full project archive ->

Credentials

Experience, on a timeline.

Latest roles first. Scroll right for earlier experience.

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founder

2023 - Present

Founder & Principal Consultant

Cyberd

Independent consulting practice focused on enterprise architecture and AI modernization: helping organizations get their data and infrastructure ready before they scale automation on top of it.

founder

2023 - 2026

Co-Founder & CTO

Moxa

Co-founded a modern finance tool that helped independent earners budget variable income. Owned the technical direction end to end, from architecture to a shipping product. Company shutting down July 2026.

startup

2023 - 2024

Blockchain Systems Engineer

Web3 gaming startup (stealth)

Full-stack EVM engineering for a web3 game: protocol, backend, frontend, and token contracts, with the architecture redesigned repeatedly as scale and requirements changed.

startup

2022 - 2024

Blockchain Consultant & Advisor

EthSafari, MetaCamp, Alternun

Advisory and engineering across the web3 ecosystem: community tooling, proofs of concept, and protocol design, most of it taken in equity.

enterprise

2022 - 2023

Senior Solutions Architect

Quantinuum (quantum computing)

Supported the systems and engineers behind a quantum-computing platform. Owned the reliability of the backend that research and development depended on, and studied the domain closely alongside the people building it.

consulting

2020 - 2022

Systems Engineer

Alvarez & Marsal

Systems engineering at a global advisory firm, where reliability, security, and change control were non-negotiable. That discipline still shapes how I approach enterprise work.

enterprise

2019 - 2020

Technology Consultant

Robert Half Technology

On-premise and cloud infrastructure consulting for enterprises and small businesses, with broad exposure to how different organizations actually run their technology.

enterprise

2010 - 2019

IT & Systems Administration

Adams State University; HDR

Where the range started, from front-line support through systems administration. Built familiarity with ITIL, systems automation tools, and enterprise automations along the way.

Testimonials

Outside signal.

"Mike is not only a talented developer but an amazing person to work with, he understands your crazy ideas and turns them into fast reliable solutions to your problems."

Koko Solomon, Organizer, EthSafari

"Mike is a delight to work with. He is humble yet has a depth of knowledge and a way of being kind and supportive that is infectious."

Noah Chon Lee, Co-Founder, Normie Tech

Notebook / papers

Recent thinking.

PapersNotebook

Notebook

Knowledge Graphs Explained

Relational databases answer what; knowledge graphs answer how things relate, and relationships are where business meaning lives. For AI systems, the graph is what grounds answers in reality.

Notebook

Modular Infrastructure with AI and Terraform

The Terraform MCP server grounds AI assistants in live registry data instead of stale training memory, and it is the clearest working example of a principle: give the machine trusted context.

Notebook

The Architecture: Queue, Workers, Knowledge Graph

The enterprise intelligence system reduces to three pieces of infrastructure and six layers that keep them safe. This is the map for the whole series: what each piece does and why the shape holds.

Notebook

The $1.27 Problem

Companies that cut workers for AI spend $1.27 for every dollar they save, and a third are already rehiring for the roles they eliminated. The retraining evidence points the other way, in billions.

Notebook

The Automation-Augmentation Paradox

Every AI initiative eventually asks whether to replace people or empower them. Research and the best corporate case studies agree: it is a false choice, and treating it as a real one causes real damage.

Notebook

The First Step Is a Meeting, Not a Purchase Order

AI readiness follows a sequence, and each step de-risks the next: assess the data, align the people, isolate the environment, pilot one workflow, measure it, and plan the workforce transition.

Notebook

The Shared Language Problem

Every department holds private definitions of your core business terms, and an AI system inherits all of them at once, contradictions included. Fixing this is a meeting discipline called ontology.

Notebook

Why AI Projects Fail

Most enterprise AI failures trace back to foundations rather than models. Five causes account for most of the losses: unready data, absent leadership, a hesitant workforce, missing controls, and unmeasured costs.

Notebook

The Stack Behind This Site

A complete accounting of what cyberd.tech runs on (Astro, AWS, CDK, and a deliberately small dynamic layer) and the reasoning each piece had to survive to earn its place.

Notebook

Most of Your Visitors Aren't Human

Automated traffic has overtaken human traffic on the web. Three ways to give machines reliable context about your site: facts in structured data, positions in curated prose, and an interface.

Notebook

Serverless Is A Content Strategy

Infrastructure choices decide how often you publish, how much you maintain, and how safely you expose dynamic features. For a personal site, serverless is a publishing decision before it is a technical one.

Paper

Intelligent Business: A Modular Approach to AI Integration

A whitepaper on enterprise AI integration: why most failures trace back to foundations rather than models, and a six-layer, zero-trust architecture that treats data as a product, keeps a named human behind every automated action, and makes compliance a byproduct of normal operation.

Work with me

Let's build something.

Data-readiness assessments, enterprise architecture and AI-modernization planning, and cloud consulting, as a project, retainer, or advisory call. Tell me what you're working on and I'll reply personally.