Production AI systems, agentic platforms, and tools. Each project is a real deployment — not a demo, not a proof of concept.
A modular, production-grade system for deploying, orchestrating, and managing LLM-powered agents across business workflows — with a full client portal and admin dashboard.
Most AI agent implementations are brittle: a single agent, a single workflow, no visibility into what's happening, and no structure for when it breaks. Businesses deploying AI at any real scale need something more — a system that orchestrates multiple agents, enforces output quality, keeps humans in the loop at the right moments, and gives non-technical stakeholders a clear view of what the agents are doing.
A full-stack AI operations platform with six specialized agents — research, copywriting, advertising strategy, offer creation, landing page generation, and sales management — each with defined input/output schemas, handoff protocols, and dependency resolution. A client portal exposes agent outputs and pipeline status to end users. An admin dashboard provides cross-client analytics, pipeline monitoring, and quality scoring.
The orchestration layer handles the logic that makes multi-agent systems actually work: checking whether upstream dependencies are complete before triggering downstream agents, resolving conflicts between agent outputs, and routing tasks to the right agent based on context.
Real-time geospatial intelligence dashboard — live flight tracking, satellite orbital paths, GPS jamming zones, and seismic events, layered on a 3D globe. Seven free public APIs. No credentials required.
Open-source intelligence (OSINT) data is scattered across dozens of public APIs, each with its own format, rate limits, and interface. Analysts and researchers who want a unified view of geospatial signals — what's flying where, what's jamming GPS, where tectonic activity is spiking — have no single tool that brings it together without requiring clearances, subscriptions, or custom infrastructure.
A browser-based 3D geospatial dashboard built with CesiumJS that aggregates seven live public data streams: real-time commercial and military aviation (ADS-B), satellite orbital tracking (TLE data), GPS jamming and spoofing alerts, seismic event feeds, and additional geospatial intelligence layers. Everything renders on a photorealistic 3D globe with full camera control and layer toggling.
Built entirely with Claude Code — the architecture, data pipeline design, and rendering logic were developed through an AI-assisted workflow that's documented in full on the blog and YouTube channel.
A community and resource platform for people building seriously with AI — agents, pipelines, workflows, tools. Practical systems from someone actively deploying them.
Most AI content teaches concepts. Almost nothing teaches deployment — the actual decisions made when a multi-agent pipeline breaks at 2am, or when a client's data starts bleeding into the wrong agent context, or when you're choosing between three architectures that all theoretically work. The people who know this stuff aren't writing about it.
A subscription community hosted on Whop, paired with a YouTube channel (@KareemxAI), that documents real AI builds in real time. Every project — the agent platform, WorldView, workflow tools — gets broken down into architecture decisions, what broke, what shipped, and why specific choices were made. Members get first access to new builds and the technical walkthrough before anything goes public.
The content side grew out of earlier work applying behavioral psychology to social media content design — scaling platforms to over 50 million combined views by understanding how attention, reward, and engagement actually work on algorithmic feeds. That same behavioral lens now informs how the AI content is structured and delivered.
Looking for roles at the intersection of agentic AI and human-centered design — where the work is building systems that real people actually trust and use.