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Tim Ismagilov

@timismagilov

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I've built production NLP, semantic search, and LLM systems for government, healthcare, telecom, and enterprise teams.

Russian Federation

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What I'm looking for

I'm looking to design and deliver production AI solutions, from research and PoCs through deployment, collaborating with technical and business stakeholders on enterprise LLM, NLP, and retrieval systems.

I've delivered production AI systems at IT-One, including a Qdrant-based semantic search component that reached 85% Top-1 and 100% Top-5 documentation retrieval accuracy. I also built resume-to-vacancy matching and AI copilot solutions, and designed evaluation pipelines for agentic coding assistants.

Previously, I deployed 10+ NER and text-classification models serving government and healthcare platforms used by over 12 million citizens, and built telecom classification systems processing 1.9M+ requests. I design enterprise AI architectures, select LLM and vector-search technologies, and mentor engineers from PoC through production.

Experience

Work history, roles, and key accomplishments

Senior AI Engineer

IT-One

Apr 2024 - Jan 2026 (1 year 9 months)

Designed and implemented AI solutions including semantic search, resume-to-vacancy matching, and AI copilots. Led architecture design, evaluation methodology, and technology selection for enterprise LLM-based systems.

Qdrant Semantic Search RAG LLM Prompt Engineering Agentic AI Python fastAPI REST APIs Architecture Design Evaluation Human In The Loop Qwen LLaMA Gemma Mistral

Machine Learning Engineer

Bank's Soft Systems

Sep 2020 - Apr 2024 (3 years 7 months)

Developed and maintained production NER and text classification models for government and healthcare platforms. Achieved F1-score above 85% and reduced request processing time by over 20%.

Machine Learning NLP NER Text Classification Python Model Deployment Optimization Training Subject Matter Expert

Machine Learning Engineer

TechInfoCom

Jan 2017 - Apr 2020 (3 years 3 months)

Developed a large-scale customer request classification system for a telecommunications provider, processing 1.9M+ requests across 1000+ categories. Delivered multiple PoCs and MVPs in text classification, time-series forecasting, and speech processing.