I will integrate ai and train custom models for your business


About this gig
Turn your business workflow into a practical, secure AI solution.
I help companies integrate generative AI into existing software, automate knowledge work, connect business data, and train custom models or retrieval systems when appropriate. I can also provide structured handoff and team enablement so your staff understands how to use and maintain the solution.
Possible deliverables:
AI assistants, chatbots and document workflows
GPT, Gemini or Claude integrations
RAG and search over company documents and databases
API, CRM, help desk and internal tool integrations
Custom model training or fine-tuning based on the approved use case
Testing, source code, deployment guidance and team training
Basic is ideal for one focused integration or proof of concept. Standard supports a multi-step business workflow with data and APIs. Premium covers an advanced production solution with custom training, deployment and enablement.
Please message me before ordering. We will define the business goal, data sources, security requirements, success criteria and scope before development.
Get to know Roger
Full Stack Developer for Web Apps SaaS Mobile and AI
- FromItaly
- Member sinceFeb 2023
Languages
English, Italian, Spanish
My Portfolio
FAQ
What business workflows can you improve with AI?
Common use cases include customer support, document processing, internal knowledge search, sales assistance, reporting, content workflows, data extraction, and task automation. I tailor the solution to your process.
What does AI training include?
Depending on the use case, training can include model fine-tuning, retrieval over your business knowledge, prompt and evaluation design, or team enablement. I will recommend the safest and most effective approach.
Can you connect AI to our existing software and data?
Yes. I can connect approved databases, documents, APIs, CRM tools, help desks, and internal applications. We will define access, privacy, security, and data boundaries before implementation.

