Yusif Abasov

I’m an AI Engineer with a Data Science background and 4+ years of experience building intelligent systems that make complex data simple and actionable. I’m product-minded, engineering-first, and focused on taking AI from prototype to production where it reliably solves real problems.

In my current role at Berliner Verlag, I design AI architecture for an enterprise-grade agentic pipeline and embed LLMs directly into established security and infrastructure environments. I also build autonomous AI agents and RAG systems for complex, domain-specific querying, plus automated document-processing workflows using Python, OCR, and scalable orchestration.

Previously, I delivered contract work across multiple domains—using Vision-Language Models (VLMs) and OCR to automate data extraction from complex PDFs, implementing automated validation and cross-document verification, and optimizing RAG for higher accuracy and faster retrieval. In another contract, I applied NLP and LLMs to automate Medical/Legal/Regulatory content reviews with traceable, DAG-based pipelines and rule-driven validation.

Before that, at Pasha Bank, I built and deployed internal and external RAG-based chatbots that improved customer interaction and reduced call-center workload. I also advanced data quality in Oracle DWH environments and created AI-based SQL agents for business teams, while contributing to data preparation for fine-tuning LLMs—combining practical engineering with measurable operational impact.