You will get a custom AI agent that works in your tools with guardrails

Dylan M.Status: Offline
Dylan M.

Let a pro handle the details

Buy Generative AI services from Dylan, priced and ready to go.
Dylan M.Status: Offline
Dylan M.

Let a pro handle the details

Buy Generative AI services from Dylan, priced and ready to go.

Project details

AI Algorithms
Large Language Model, Multimodal Large Language Model
AI Applications
AI Chatbot, AI-Generated Code, Conversational AI, Natural Language Understanding
AI Development Language
Python
AI Models
ChatGPT, GPT-4

What's included $2,500

These options are included with the project scope.

$2,500
  • Delivery Time 14 days
  • Number of Revisions 1
    • AI Model Integration
    • Database Integration
    • Detailed Code Comments
    • Prompt Engineering
    • Setup File
    • Source Code
Dylan M.Status: Offline

About Dylan

Dylan M.Status: Offline
AI Systems Architect | Agents, RAG & Automation for Regulated Fintech
Geneva, Switzerland - 10:40 am local time
Need an AI system that holds up in production, in an audit and in front of a client?

I design and deploy production AI agents, RAG assistants, workflow automation, API integrations and LLM platforms. Before this I built and sold a regulated Swiss crypto broker, so I have lived AML, KYC and KYT from the inside. That is why every system I ship carries structured logs, permissions, human approval on sensitive actions and a trail you can hand to an auditor.

I can help with

• AI agents connected to CRM, email, databases and internal tools
• RAG systems with traceable sources, permissions and human review
• n8n and Make workflows with logging, retries and error handling
• Private, managed, cloud and hybrid LLM platforms
• MCP integrations, tool use, agent observability and LLMOps
• Offensive and defensive security. AI red teaming, penetration testing, hardening of Linux and Windows servers, VPS operations, access control and monitoring
• Fintech, payments and VASP operations. KYC and KYB intake, document extraction, screening, case management and audit trails
• Fine tuning and model training on your own data, with a measured evaluation report
• Crypto and Web3 tooling. On chain analysis, DEX integrations, market data pipelines and algorithmic trading systems, delivered as software engineering only with risk controls and non custodial architecture
• Websites, prototypes and MVPs connected to real APIs and data
• Architecture reviews, monitoring, documentation and project delivery

I develop custom components when the use case requires them. When proven building blocks are the better choice, I integrate and adapt them to control delivery time, cost and risk.

My background combines AI automation, cybersecurity, infrastructure, fintech, trading, crypto and regulated operations. I work from business requirements through architecture, implementation, testing, deployment and handover.

Fixed scope packages are available in my Project Catalog. AI Automation Audit at $1,500 in five days. Custom AI Agent at $2,500. AI Voice Agent at $2,500. Production n8n or Make Automation Sprint at $3,500. Claude Code Build at $3,500. SaaS MVP at $4,000. RAG Assistant Proof of Concept at $5,000. LLM Fine Tuning at $6,500. Each package has a clear scope, a set delivery date and support after handover.

I build the infrastructure, the workflows, the controls and the evidence. I do not sell compliance guarantees and I never replace your compliance officer, your lawyer or your decision makers.

Based in Geneva. French native and English fluent at C1 level. Available for remote projects with Swiss, European and international teams.

Send me your current process, tools and main constraint. I will define a clear scope before the build starts.

Steps for completing your project

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

Delivery time starts when Dylan receives requirements from you.

Dylan works on your project following the steps below.

Revisions may occur after the delivery date.

Agent design and task definition

We define the task, the tools the agent can use, the limits and the human approval points.

Build with guardrails and logging

We build the agent with tool access, memory, structured logs, cost limits and human validation where it matters.

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