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4 years of high-tech engineering, product architecture & zero-to-one platform builds.
I don't build basic templates—I architect production systems with bulletproof reliability.
Here are 3 platforms I've engineered and shipped recently:
Kazfen (https://kazfen.com) – Autonomous AI sales rep platform for home service contractors. Automates inbound lead calls in <60 seconds, qualifies jobs, logs decision trails, and syncs to CRMs.
Dark Kinetics (https://darkkinetics.com) – Physical conditioning, isometric holds, thermal recovery & Japanese longevity protocol platform with custom video streaming architecture.
Exovyre (https://exovyre.com) – Serialized Edo-Tokyo biopunk anime platform, creative direction, custom layout grids & high-end motion pipelines.
Core Engineering & Design Capabilities:
• Full-Stack: Next.js 15 (App Router), TypeScript, Python FastAPI, PostgreSQL, Supabase
• AI & Infra: Autonomous voice agents, Claude API pipelines, Stripe, Resend, Vercel
• Design & Motion: Systemic Figma UI/UX, Framer/Webflow CMS, After Effects motion
Currently open for senior full-stack development, AI agent infrastructure, complex Framer/Webflow migrations, and production hardening contracts.
📩 DM me on Contra to discuss your architecture and timeline.
kazfen.com
Every Home Services Lead, Called in 60 Seconds
Kazfen calls, qualifies, and books inbound leads for roofing, solar, and HVAC contractors in under 60 seconds — 24/7.
The network for creativity
Join 1.25M professional creatives like you
Connect with clients, get discovered, and run your business 100% commission-free
Creatives on Contra have earned over $150M and we are just getting started
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TOP!!
I’ve been working on a small skill called Manual Orchestrator to make longer projects with AI agents easier to manage.
The problem started with a familiar situation: one chat would accumulate plans, implementation details, corrections, and test results. By the time I was ready for the next phase, I wanted a fresh conversation without losing the decisions we’d already made.
Manual Orchestrator gives that process some structure. One chat acts as the orchestrator: it breaks the work into stages and writes a prompt for the next one. I run that prompt in a new session, then bring the result back. The orchestrator reviews it against the stage’s criteria before preparing the next prompt. If something needs fixing, I go back to the same worker session.
The skill also keeps a record in the project with the current stage, decisions, evidence, and next steps. That makes it easier to pause, resume, or hand the work to another session.
The handoff is manual. I choose when to open a session and carry the result back. The orchestrator and worker sessions can also use different agent CLIs, with the prompt adapted to the capabilities available.
It’s open source and still a work in progress. I’m using it to learn what helps in practice and where the workflow needs to improve. Installation has been checked for Codex, Claude Code, and Gemini CLI, but the full workflow hasn’t been tested across every CLI or version.
If you try it, I’d be interested in hearing what works and where it gets in your way.
Resolve: an AI support agent that answers from a company’s own policies, looks up orders, and escalates weak matches to a human instead of guessing. A human approves replies before they go out.
Live demo: support-resolver.vercel.app
For the human approval step, I'd show the exact policy passage and its effective date beside the draft. Does Resolve flag a reply for re-review if the policy changes while it waits for approval?