I'm a software engineer building distributed backend systems, AI-enabled analytics platforms, and agentic workflows. At Amazon I architect systems used by 200K+ sellers daily. Outside work I build open-source AI tooling — from MCP servers to multi-agent orchestration frameworks.
A provider-neutral agent task dispatch system — abstracts over AWS, GCP, Azure, Kubernetes, and local runtimes behind a stable adapter contract. Ships with an MCP server, TypeScript SDK, CLI, and SQLite store so AI agents can dispatch, monitor, and cancel durable tasks across any cloud without vendor lock-in.
A toolkit that gives LLMs structured, real-time UI context — so AI agents can understand what users are looking at and interact more effectively with web applications.
github.com/askable-ui/askable →A GAN-inspired adversarial multi-agent system for Claude Code — separates Builder and Evaluator agents behind an information firewall so neither can self-approve flawed work.
github.com/vamgan/claude-harness-builder →Contributed concurrent message reading for multi-agent sessions, OpenTelemetry cache-usage metrics, corrected tool-result span labeling, and optional outputSchema support for structured tool outputs.
github.com/strands-agents/sdk-python →An MCP server that reviews your code and roasts it — identifies bugs and delivers humorous feedback in Gen Z or senior-dev personas. Can auto-fix issues with sarcastic PR comments.
github.com/vamgan/roastmaster →