I will build data ingestion pipelines for rag and llms

Stop feeding garbage to your AI.

Most LLM and RAG (Retrieval-Augmented Generation) projects fail not because of the model, but because of poor data ingestion. If you want your AI to answer accurately, you need semantic intelligence and clean data structures, not just basic text parsing.

I am a Data Engineer and Tech Ops Leader specializing in building blazing-fast, robust data pipelines. I build custom solutions to extract, clean, and transform your complex documents (PDFs, images, raw text) into vector-ready data.

My Tech Stack & Advantage:

Unlike standard wrappers, I leverage Python and my own custom Rust-powered infrastructure to guarantee high-speed processing, low memory consumption, and deep semantic extraction.

What I can do for you:

• Complex Parsing: Extract text, tables, and context from messy PDFs, Word docs, and images.
• Data Cleaning & Formatting: Transform raw data into structured formats (JSON, JSONL, Markdown) ready for Vector Databases (Pinecone, Milvus) or fine-tuning.
• Custom RAG Pipelines: End-to-end data flow architecture tailored to your specific business documents.