Arman Afzar

Units

AI & Machine Learning

Short answer

On-premise LLMs, fine-tuning, RAG, vision and MLOps.

Unit file
Type
Specialist group

What this unit builds

01What this unit does

On-premise LLMs, fine-tuning, RAG, vision and MLOps.

Enterprise LLMs, fine-tuning, RAG, vision and MLOps

Model and data versioning, quality and cost monitoring, continuous deployment and scaling.

For this team AI is a tool for solving organisational problems: data from images, documents, text and user behaviour becomes decisions, alerts, reports and automated processes — fully on-premise, with no data leaving the organisation, wherever required.

  1. On-premise & enterprise LLM deploymentRunning language models on your infrastructure: quantization, serving with vLLM and Ollama, access control and audit logs
  2. LLM training & fine-tuningData preparation, SFT, LoRA/QLoRA, DPO and evaluation for Persian and your domain
  3. RAG & knowledge basesDocument indexing, vector databases, semantic search and Persian Q&A over your knowledge
  4. AI agents & multi-agent systemsAutonomous agents, enterprise assistants, MCP tool use and multi-agent orchestration
  5. MLOpsModel and data versioning, quality and cost monitoring, continuous deployment and scaling

Services it delivers

02Services

Hover a service to see its capabilities.

  1. 01 / 05

    Enterprise LLM & Fine-tuning

    On-premise deployment of language models on your infrastructure, training and fine-tuning on your data, and RAG knowledge bases — without data leaving the organisation.

    • On-premise setup, quantization and serving with vLLM and Ollama
    • Data preparation, SFT, LoRA/QLoRA, DPO and evaluation for Persian
    • Document indexing, vector databases and Persian Q&A
    • Access control and audit logging
    Service page: Enterprise LLM & Fine-tuning

Products and projects

03Work

Things this unit helped build.

  1. 01FloushAI, all in one
  2. 02LLM RouterRoute requests across many LLMs from one API

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