Custom AI Agent Development & Open-Source LLM Fine-Tuning Services
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Description

Skip the generic ChatGPT wrappers. I architect, build, and fine-tune specialized, self-hosted AI agents from scratch tailored to your proprietary business data. Whether you need to automate complex service workflows or deploy open-source models (like Llama 3 or Mistral) locally to protect data privacy, I handle the complete pipeline. Services include custom agentic workflows, Retrieval-Augmented Generation (RAG) setup, and model fine-tuning to give your business a permanent, domain-specific intellectual property asset without the recurring SaaS API costs.

About the seller
gandolfslayer

gandolfslayer

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United States

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1 week ago

Member Since

April 26, 2025

Instructions

Welcome! To ensure we hit the ground running and maximize the efficiency of your milestone delivery, please provide as much detail as possible regarding your technical environment and project goals.

Please review and complete the following checklist:

1. PROJECT OBJECTIVE & USE CASE:
Briefly describe what problem this service needs to solve for your business. (e.g., "We need to automate our data extraction process securely," or "We need to harden our local Linux workstation infrastructure against external access.")

2. CURRENT SYSTEM ARCHITECTURE & TECH STACK:
What operating systems, hosting environments, platforms, hardware, or cloud providers are you currently utilizing? If applicable, please note specific versions or constraints (e.g., Solus Plasma, local hardware, AWS, specific API integrations).

3. SECURITY & COMPLIANCE REQUIREMENTS:
Are there specific compliance or data privacy frameworks we must respect? (e.g., CIS Benchmarks, strict local data residency with zero external API calls, GDPR, HIPAA compliance).

4. DATA & SOURCE ACCESS:
Do you have your data or documentation structured and ready for implementation (for AI datasets/RAG), or will data discovery and cleaning be part of our initial project milestone?

5. TECHNICAL DOCUMENTATION (If Available):
Please attach any existing network topology diagrams, workflow maps, codebase repositories, or system specs relevant to this deployment.

Once you submit these details, I will review them within 12–24 hours and establish our initial project kickoff cadence. Looking forward to engineering a scalable, high-performance solution for your business!

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FAQ
Do I need to provide my own infrastructure (GPUs/Servers) for local LLM or AI agent deployments?

Yes, for self-hosted or local deployments, you will need to provide the target hardware or cloud infrastructure (e.g., AWS, RunPod, or dedicated local servers meeting minimal VRAM requirements). During our initial architecture review, I will provide an explicit hardware specification list tailored entirely to the model sizes (e.g., 8B vs. 70B parameters) and concurrent workloads your business demands.

How do you guarantee data privacy during AI agent training or workflow automation?

Privacy is engineered into the system from day one. By utilizing open-source foundational models (like Llama 3 or Mistral) running entirely on your local infrastructure or an isolated private cloud instance, your data never leaves your secure perimeter. Zero data is shared with third-party APIs or external LLM providers for training purposes.

Can you fix broken Linux boots or perform hardening on custom/niche distributions?

Absolutely. While I specialize in Solus Plasma and primary enterprise Linux branches, I possess deep technical expertise in low-level bootloader mechanics (GRUB, systemd-boot), initramfs/dracut recovery, package management optimization, and implementing system-wide CIS security baselines across a broad range of Linux architectures.

What frameworks do you use to evaluate our small business cybersecurity posture?

I primarily align infrastructures with the Center for Internet Security (CIS) Benchmarks and robust enterprise endpoint defense standards. This focuses heavily on concrete operational security: hardening endpoints, enforcing strict Network Access Control (NAC), establishing multi-factor authentication (MFA) parameters, and removing single points of failure in your perimeter defense.

Do you provide post-deployment support and system monitoring?

Every delivery includes documentation and a comprehensive handover walkthrough to ensure your team can manage the infrastructure. If you require ongoing maintenance, infrastructure monitoring, or periodic security patches, we can easily establish a recurring monthly retainer milestone directly through Zerk after the initial project is successfully completed.

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Job Quantity
1,500.00 USD
350.00 USD
250.00 USD
450.00 USD
600.00 USD
500.00 USD
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Job Quantity
1,500.00 USD
Job Quantity
1,500.00 USD
350.00 USD
250.00 USD
450.00 USD
600.00 USD
500.00 USD


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