Services
Production AI agents, copilots, RAG systems, and workflow automation built for reliability, security, and real-world use.
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AWS platforms that power production AI—from infrastructure and CI/CD to observability, security, and scalable cloud architecture.
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Modern software delivery with coding agents, specification-driven development, developer tooling, and engineering workflows that scale.
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Hands-on engineering leadership for ambitious teams—designing architecture, solving difficult technical problems, and shipping production software.
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Open Source
Charmant.AI is an open-source local AI agent I built for working with files, shell commands, logs, and repeatable system workflows.
The project explores a practical production problem: how to give an AI agent useful capabilities without giving it unrestricted access to the machine. It combines explicit permission controls, command risk classification, reusable skills, project instructions, and structured audit logs.
Writing
A practical guide to migrating AWS Systems Manager Parameter Store values between AWS accounts using ssm-bulk, with examples for SecureString parameters, dry runs, cross-region moves, and preserving environment-specific values.
How business users and software developers can get better results while spending fewer tokens
A lightweight Bash script for migrating Amazon ECR images between AWS accounts. The script uses Docker Buildx to copy image references directly between registries, preserving tags and multi-architecture manifests without requiring a local pull, tag, and push workflow.
AI-native engineering is not about replacing engineers with prompts. It is about redesigning the development system so small, senior teams can use AI across planning, design, implementation, testing, review, and operations without losing control of architecture, quality, or security. This article explains how founders and technology leaders can combine Domain-Driven Design, spec-driven development, TDD, curated context, and automated guardrails to ship products in weeks rather than months while keeping the codebase maintainable and production-ready.
About
I work with startups and engineering teams building AI products, developer tools, and cloud platforms. Whether I join an existing team or lead a critical project, my focus is the same: turning ambitious ideas into reliable production software.
Track record
Speaking & publications
Practical sessions on AI engineering, cloud architecture, security, and building production-ready systems.
In-depth work on AI systems, agent security, cloud platforms, and AI-native engineering practices.
Whether you need a second opinion on an architecture, help shipping an AI system, or an experienced engineer to strengthen your team, let’s start a conversation.