AI PM co-founder. I build autonomous agent systems that run in production — not demos.

Most AI engineers build prototypes. I build systems that stay on.

Co-founder at Netanel Systems — an autonomous AI company where every function (content, engineering, QA, delivery) runs on multi-agent infrastructure. We built it in two weeks. It ships daily.

Before that: I spent two years going from zero code to production AI systems. Every repo here is a step in that progression.

Production-ready CRM with 6 autonomous agents: lead qualification, email intelligence, sales pipeline, customer success, meeting scheduler, analytics. Built on FastAPI, LangChain, PostgreSQL, Redis. Handles real workflows — not toy tasks.

Why it matters: Most AI CRM demos stop at "here's a chatbot." This one has agents that own full business processes end to end.

First open-source Vision + Learning + Acting agent for home use. Local face recognition at 82%+ accuracy. YOLO detection + InsightFace + GPT-4o Vision. 25-30 FPS on consumer hardware (RTX 4060). No cloud dependency. No telemetry.

Why it matters: Edge AI agents that improve with use, without sending data anywhere. Privacy-first multimodal AI.

LangGraph from scratch to production: ReAct agents, human-in-the-loop workflows, parallel execution, persistent memory, LangSmith tracing, Docker deployment. Progressive complexity — foundational to production-ready.

Why it matters: This is how I learn: build every pattern by hand, document what breaks, ship the working version.

Complete RAG learning path: basic retrieval through advanced multi-agent RAG systems and cloud deployment. Built as a reference I actually use.

Netanel Systems is an autonomous AI agent company — meaning the company itself runs on agents. Multi-agent content pipeline, automated engineering workflow, agentic QA and delivery. Every system we build becomes infrastructure for the next one.

We document everything. Follow along: @klement_gunndu on LinkedIn

• AI PM roles at companies building real agent infrastructure (Anthropic, OpenAI, Cohere, Mistral, serious YC-backed startups)
• Co-founder / founding team roles where the product is agentic systems
• Technical AI Product roles where shipping matters more than slide decks

I think like a founder, ship like an engineer, and manage like someone who has to live with the consequences.

Python LangChain LangGraph FastAPI PostgreSQL Redis Docker YOLO RAG Multi-agent systems

• Portfolio: klementmultiverse.github.io
• LinkedIn: Klement Gunndu

Building systems that outlast the hype.