I build AI systems that integrate LLMs with search, data, and APIs.
AI Engineer — Blockchair
Worked on AI and backend systems, including:
- Hybrid search and retrieval systems
- LLM-powered customer-support tools
- Natural-language-to-SQL agents for blockchain analytics
- News similarity pipelines
- Context-retrieval APIs for LLM applications
- LLM evaluation and benchmarking
- 3xpl mcp — MCP server for querying blockchain data across 48 chains.
- hybrid search pipeline — Hybrid search pipeline combining Elasticsearch and Qdrant for Dateno.io
- custom OCR pipeline — Document-understanding pipeline using LayoutLMv3, TrOCR, and an LLM. Presented at Decentrathon 4.0 hackathon, getting 3rd place.
- IDE with NL to SQL — LLM-powered interface for querying SQL data in natural language. Presented for shai.pro hackathon.
- CG black hole — OpenGL 4.1 C++ black-hole simulation.
BSc Computer Science — Astana IT University
2023–2026
Thesis: Context-aware RAG for educational information retrieval using Bloom’s Taxonomy.
Also completed 01-edu program at alem.school during my main studies.
Full CV is available on request.



