I will support ai and llm data projects with rag pipelines
Grant Writer Specialist, RFP, Evaluation Writing and Data Engineer
Vetted by Fiverr Pro
Aneel was selected by the Fiverr Pro team for their expertise.
Vetted for
Data Science & ML
Data Visualization
About this Gig
Vetted Pro
I will support your AI and LLM-related data project with practical data preparation, architecture planning, RAG workflow support, embedding pipeline design, vector database planning, and implementation-ready documentation.
I help founders, developers, consultants, and business teams turn raw, scattered, or unstructured data into clean AI-ready workflows. My support can cover data source assessment, ingestion logic, chunking strategy, metadata planning, embedding workflow, retrieval structure, evaluation approach, and clear documentation for your technical team.
I have strong experience in data science, machine learning, and AI delivery for business and individual clients around the globe. My focus is on practical delivery, clear communication, and business-aligned AI data systems that can be understood, improved, and implemented.
Before starting, I review the target goal, data type, current tools, target LLM use case, and expected output so the work fits your actual project needs.
My Portfolio
Other Data Science & ML Services I Offer
FAQ
What type of AI or LLM projects can you support?
I support RAG systems, AI chatbots, LLM knowledge bases, document-based AI tools, embedding workflows, vector database planning, and AI-ready data preparation.
Do you build the full AI application?
This Gig focuses on AI and LLM data project support, system planning, workflow design, data preparation logic, and technical documentation. Full app development can be discussed separately.
Can you help if my data is messy or unstructured?
Yes. I can review your files, documents, databases, or business data and recommend how to structure them for AI, embeddings, retrieval, and LLM use cases.
Can you design a RAG workflow for my project?
Yes. I design the RAG workflow, including data sources, ingestion method, chunking strategy, embedding approach, metadata plan, vector storage logic, and retrieval flow.
What will I receive at the project delivery?
Depending on your package, you may receive a data readiness review, source code, RAG workflow plan, architecture document, vector database plan, evaluation approach, and implementation notes.

