You will get AI Agent Infrastructure Development - Multi-Agent Systems

Jeff F.Status: Offline
Jeff F. Jeff F.

Let a pro handle the details

Buy Machine Learning services from Jeff, priced and ready to go.
Jeff F.Status: Offline
Jeff F. Jeff F.

Let a pro handle the details

Buy Machine Learning services from Jeff, priced and ready to go.

Project details

I build and manage multi-agent AI infrastructure, from cloud-hardened VPS setups to production-grade agent networks. With deep expertise in DevOps, cloud security, and AI agent frameworks, I help businesses deploy and scale intelligent automation systems that are secure, observable, and cost-efficient.

What sets me apart: I don't just deliver code — I deliver infrastructure that your team can own, extend, and trust. Every project includes documentation, monitoring dashboards, and deployment playbooks. Whether you need a single AI chatbot deployed or a full sovereign agent network spanning multiple servers, I handle the full stack from foundation to production.

Typical projects include: AI agent orchestration pipelines, multi-server agent mesh networks, secure VPS hardening for AI workloads, custom API gateways, CI/CD automation, and infrastructure-as-code deployments for startups scaling their AI operations.
What's included
Service Tiers Starter
$150
Standard
$350
Advanced
$750
Delivery Time 5 days 10 days 20 days
Number of Revisions
000
Number of Model Variations
135
Number of Scenarios
1310
Number of Graphs/Charts
1310
Model Validation/Testing
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Model Documentation
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Data Source Connectivity
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Source Code
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Jeff F.Status: Offline

About Jeff

Jeff F.Status: Offline
AI Infrastructure Engineer Multi-Agent Systems, LLM Serving, DevOps
The Hague, Netherlands - 4:54 am local time
I don't just design systems. I build them, ship them, and keep them running on a shoestring budget without sacrificing reliability.

I'm the engineer behind a distributed production mesh of 7+ autonomous AI agents spanning bare-metal servers, cloud VPS, ARM edge devices, and workstations — all interconnected over a zero-trust mesh VPN. This isn't a homelab. It's a working, customer-facing platform handling real traffic, WebSocket connections, and multi-tenant isolation — all running on ~$30/month of infrastructure.

What I do:

Multi-Agent AI Infrastructure
- Design and deploy autonomous agent networks with specialized sub-agents (orchestrators, executors, memory keepers, monitors)
- Cross-instance agent state sync, health monitoring, and auto-recovery
- Role-based task delegation with security boundaries between agents
- Voice-note processing pipelines, scheduled cron-driven workflows, real-time dashboards

Production LLM Serving
- Serve open-weight LLMs with vLLM, Ollama, and llama.cpp across heterogeneous hardware (AVX512, CUDA, ARM)
- API routing and failover across multiple inference providers
- Structured output enforcement (JSON mode, grammar-constrained generation)
- Quantization and model optimization for cost-constrained environments

DevOps & Infrastructure
- Multi-host orchestration with Docker Compose, Nginx reverse proxying, systemd, and PM2 process management
- Zero-trust networking with WireGuard-based mesh VPNs
- Server hardening: SSH key-only auth, fail2ban, automated security audits, read-only filesystem mounts
- Cost-optimized VPS provisioning across providers, with automated failover between hosts

Agent Platform Engineering
- Multi-tenant customer deployments with WebSocket tunnels — every customer gets an isolated instance, no shared state
- Custom shell daemons for secure remote command execution
- Built a production-ready DevOps Agent Kit (8 integrated skills) that automates server provisioning, testing, and monitoring

Infrastructure Rescue & Optimization
- I specialize in taking messy, over-engineered, or neglected infrastructure and turning it into something you can sleep through the night knowing it works
- I've debugged SSH lockouts, resurrected dying Raspberry Pi boot volumes, and cut monthly hosting bills by 80% without touching performance

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My standards:
- Everything is documented. Every config change, every deployment decision, every failure mode
- Everything is automated or scheduled — I don't believe in manual maintenance
- I triple-verify before declaring anything broken. False alarms waste more time than real outages
- I communicate in plain language. No buzzword salad. You'll know exactly what I'm doing and why

Tech I work with daily:
Python, Go, Bash, Docker, Nginx, PM2, systemd, vLLM, Ollama, llama.cpp, WireGuard, OpenWRT, Terraform, Prometheus/Grafana stacks, CI/CD pipelines, WebSocket protocols, REST API design, PostgreSQL, SQLite

Hardware experience:
x86-64 servers (AVX512, AVX2), ARM64 (Raspberry Pi 4/5, Apple Silicon), CUDA-capable GPUs, single-board edge devices

Preferred engagement types:
- Ongoing infrastructure retainer (monitoring, maintenance, optimization)
- Project-based builds (agent system deployment, inference server setup, server migration)
- One-off rescue / audit / optimization sprints
- Technical consulting (architecture review, cost optimization, security hardening)

I'm a solo operator who can take a project from whiteboard to production. You get one reliable point of contact who knows every line of config and every running process. If you want to talk to a PM who forwards tickets to a junior engineer, I'm not your guy. If you want someone who ships, I am.

Steps for completing your project

After purchasing the project, send requirements so Jeff can start the project.

Delivery time starts when Jeff receives requirements from you.

Jeff works on your project following the steps below.

Revisions may occur after the delivery date.

Infrastructure provisioning & configuration

I provision cloud servers, configure networking, monitoring, CI/CD pipelines, and infrastructure-as-code. All services hardened for production.

Deployment, testing & delivery

Deploy solution, run integration tests, provide monitoring dashboards, deliver documentation for independent team management.

Review the work, release payment, and leave feedback to Jeff.