AI Engineer

Прага, Чехия
Джуниор • Миддл
Информационные технологии • Разработка • Backend • Fullstack • Frontend • Mobile • Bash • C++ • C# • C • Python • PHP • Swift • ASP.NET Core • Laravel • Django • MongoDB • MySQL • PostgreSQL • Redis • Azure
Релокация • Удаленная работа
Опыт работы от 1 года до 3х лет
О себе

На данный момент AI engineer.

Мои компетенции и опыт

Timur Nurtdinov

AI Engineer

Email: нужен доступ к резюме | Phone: нужен доступ к резюме
Location: Prague, Czech Republic | LinkedIn | GitHub

Summary

Software Engineer with 1+ year of experience building backend services and LLM features in Python and FastAPI for a language-learning mobile app, from API design to RAG-based search. Graduate of Brno University of Technology (FIT) with a Dean's Award for a bachelor's thesis, a full-stack AI web application built end-to-end. Strong problem-solver and fast learner with a sense of ownership, fluent in English and Czech.

Professional Experience

Software Engineer

Lezoos (mobile app for learning foreign languages with non-Latin alphabets) | Remote | 11/ нужен доступ к резюме /2026

  • Built a RAG system for the in-app grammar assistant: semantic search over lessons, vocabulary and explanations with multilingual embeddings and pgvector, so answers are grounded in course content
  • Built REST API endpoints in Python for lessons, vocabulary and user progress, used by the mobile app
  • Added caching for lesson content, reducing response time from ~400 ms to ~30 ms
  • Covered core endpoints with pytest unit and integration tests

Education

Bachelor of Information Technology
Brno University of Technology, Faculty of Information Technology | Brno | 09/ нужен доступ к резюме /2026

  • Thesis: “AudiobookAI” a web application that turns an EPUB book into an audiobook where every character speaks with a distinct voice. Dean's Award for outstanding technical execution and research.
  • Developed the full system: FastAPI backend, React frontend; converts a 300-page book into hours of audio in minutes
  • Reached 94% accuracy in identifying the speaker of each dialogue line with an LLM-based approach, versus 72% for the BookNLP baseline, on thousands of annotated quotes
  • Integrated two TTS engines with automatic voice assignment per character

Skills

  • Programming Languages: Python, C#, C, Bash, PHP, JavaScript
  • Backend Frameworks: FastAPI, нужен доступ к резюме , Laravel
  • Databases: PostgreSQL, pgvector, SQLite, NoSQL
  • Cloud & Infrastructure: Docker, Kubernetes, Azure, Linux, Git
  • AI & Automation: Multi-Agent Systems, MCP, LangChain, LangGraph, RAG, Prompt Engineering
  • Testing: pytest (unit & integration)

Languages

  • English: Professional working proficiency
  • Czech: Professional working proficiency
  • Russian & Tatar: Native speaker


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