About
I am a product engineer who thinks in systems: how data moves, how teams operate, and how every decision affects reliability at scale. Today that means agentic development — AI agents that do not stop at generating code, but build whole applications, execute them, diagnose failures, and apply fixes, with deterministic validation and human review where it matters.
Over 8+ years I have shipped enterprise search platforms (7.7M+ SKUs on Typesense), Angular and React product systems, workflow orchestration tools, and AI-integrated automation services. That experience now feeds BuildOS: Knowledge Hub gives agents structured repository context, the Agent plans and coordinates, and Node Commander executes on real infrastructure. Guardrails stay non-negotiable — validation, fallback paths, monitoring, and cost control.
Product Lab
I do not build portfolio pieces — I run real systems on my own infrastructure. Every product below is deployed on a self-hosted Docker fleet I operate: 20+ services behind Cloudflare tunnels, with monitoring, backups, and CI/CD I maintain myself.
The lab exists because agentic development needs a proving ground. Agents that build, execute, and repair applications have to do it on real servers with real failure modes — so that is where mine run.
Current / Upcoming Products
- BuildOS Agent - AI engineering workspace for planning, parsing, and multi-agent coordination
- Node Commander - Agentless SSH fleet management for Docker deployments and migrations
- Knowledge Hub - Tree-sitter AST parser compiling repositories into structured project memory
- LayerOne - Open-source cross-framework design tokens and accessible web components
Content & Automation Systems
- Ghost Blog System - Self-hosted publishing platform for long-form content
- GhostPilot - Automated content engine that generates, schedules, and publishes posts using AI
More products will be added as they move from idea to prototype to real usage.
The goal is simple: build useful systems, ship fast, and evolve them into real products.
System Design & Architecture
- Event-driven and API-first platform design
- Multi-tenant data modeling and governance
- Performance optimization and reliability
Frontend
- Next.js, Angular, and design system foundations
- Search UX, workflow builders, data-heavy UI
- Accessibility-first component architecture
Backend & APIs
- FastAPI, Node.js, Typesense
- Workflow orchestration services
- Schema-driven validation and pipelines
AI & Automation
- Agentic development: agents that build, run, diagnose, and patch apps
- Prompt + schema design for reliable extraction
- Cost/latency/fallback planning
- NL to workflow generation
Infrastructure
- Dockerized services + CI/CD
- AWS and GCP deployments
- Observability, logging, and backups
How I work
- Start with outcomes, map the system, then ship in slices.
- Keep architecture clean with strong contracts and validation.
- Use AI responsibly: deterministic paths, logs, and audits.