Daniel
// ML Engineer · High-load AI Systems
ML Engineer, 4+ years shipping AI systems end-to-end — architecture to production.
Focused on high-load RAG and multi-agent LLM platforms, with continuous work on quality and performance.
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Experience
RAG / Python Engineer
RAG system and multi-agent platform — core services across ML and backend.
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- Designed and shipped a production RAG system for banking-service search
- Built high-load RAG backend: search, ingestion, incremental updates
- Architected a multi-agent system solving domain tasks via composable LLM Skills
- Built the orchestrator for agent routing and decision-making
- Shipped Skills across multiple business domains
- Optimized models and retrieval quality behind search and agents
ML Engineer
B2B AI products — ad generation (Peklo Tools) and a chatbot copilot (Enji) integrated with team tooling.
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- Finetuned and hardware-optimized models for high throughput on constrained resources
- Built a RAG solution with dynamic integration into clients' team tools (Confluence/Jira/Bitbucket, Notion, GitLab)
- Shipped and integrated both products into client business processes
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Achievements
Finalist — NTO Big Data & ML 2021–2022
Finalist — Yandex ML Cup 2022
Finalist — Yandex ML Cup 2023