Backend & AI Engineer - agent systems, retrieval, and the APIs that make them useful
Backend -> AI engineer since 2024. Built and own central platform services for a SaaS EDMS, then moved into the AI engineering department after being named Backend Employee of the Year.
Now working on vector semantic search, multi-tenant AI agent systems, MCP tool APIs, agent skills, and agent evaluation. Python/FastAPI, PHP, PostgreSQL, Solr, Docker, Linux. Applied ML interests: retrieval, RAG, agent orchestration, evaluation.
QB Solutions
Jun 2023 — Mar 2024Configured and optimized business processes in Bitrix24 CRM from director-provided requirements; modeled workflows, identified edge cases, and adjusted process behavior to match real usage. Applied PHP to custom business logic and integrations while studying Laravel fundamentals under a senior developer.
Documentolog
Jun 2024 — PresentBackend → AI engineer at Documentolog (Astana) since 2024. Built and own the central platform services behind a SaaS EDMS, then moved into the AI engineering department after being named Backend Employee of the Year. Now working on semantic and vector search (Solr, Qdrant, Meilisearch), production AI agents with custom orchestration, MCP tool APIs, RAG, Whisper STT, and topic extraction. Python/FastAPI/asyncio, PHP, PostgreSQL, Docker, Linux. Applied ML interests: retrieval quality, agent orchestration, open-source LLM evaluation, and testing non-deterministic systems.
Astana IT University
2021 — 2024Relevant coursework: Data Structures and Algorithms, Design and Analysis of Algorithms, Software Design Patterns, Databases (SQL/NoSQL), Operating Systems (Linux), Site Reliability Engineering, Cloud Computing (AWS), Software Architecture.
