Amir Abdykarimov

AI Engineer

JSC AML Academy

Builds LLM applications and RAG pipelines, evaluates prompts and models, and deploys inference systems.

• Developed multiple LLM-based applications with custom business logic. • Implemented RAG pipelines using LangChain for legal and regulatory document analysis (PDF parsing, chunking, embedding generation, vector search, context retrieval). • Worked on prompt engineering and LLM evaluation to improve response quality and reliability (prompt tuning, hallucination reduction, output validation).

ML Engineer (Internship)

Financial Monitoring Agency of the Republic of Kazakhstan

Kazakhstan's government agency responsible for financial monitoring.

Built data pipelines and a face-recognition system for identity verification and database enrichment.

• Developed and deployed automated ETL pipelines with Apache NiFi to synchronize data between PostgreSQL and ClickHouse, reducing data retrieval latency and improving system scalability. • Processed and transformed raw data from TXT files and loaded structured datasets into PostgreSQL databases on a server environment, ensuring reliable data availability for analytics workflows.

Bachelor's Degree, Big Data Analysis

Astana IT University