Сервіс пошуку роботи №1 в Україні
Ілля
Python-програміст
- Розглядає посади:
- Python-програміст, AI engineer
- Вік:
- 20 років
- Місто проживання:
- Інші країни
- Готовий працювати:
- Дистанційно, Інші країни
Контактна інформація
Шукач вказав: ТелефонЕл. пошту
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Illia Sydorchuk / Junior AI Engineer
Bratislava, Slovakia | [відкрити контакти ](див. вище в блоці «контактна інформація») | [відкрити контакти ](див. вище в блоці «контактна інформація») | LinkedIn | GitHub
Summary
Junior AI Engineer specializing in backend development and AI systems. Built automated LLM pipelines
that reduced documentation time by 90%, and RAG architectures that analyse 20,000+ line codebases in
under 3 seconds. Experienced with FastAPI microservices and multi-agent systems.
Key Skills & Achievements
AI Systems & RAG Architecture
• Developed a LangGraph-based multi-agent system to automate source code analysis, generating
architectural documentation and PlantUML diagrams in under two minutes - reducing manual
engineering time by 95%.
• Built a RAGpipeline using ChromaDB for automated GitHub repository ingestion, enabling context
retrieval from over 20,000-line codebases in under 3 seconds.
Backend Development & API Engineering
• Implemented Server-Sent Events (SSE) using FastAPI to stream AI reasoning steps, improving
frontend response times by 85% and over and delivering first tokens in under 1.5 seconds.
• Scaled AI agent execution by engineering an asynchronous REST API Gateway, successfully
handling 50+ concurrent requests without event loop blocking, increasing overall system
throughput by 300%.
• Eliminated 100% of server crashes caused by malformed payloads by enforcing strict Pydantic
validation schemas across 15+ API endpoints within a Django backend.
Software Engineering & Testing
• Guaranteed 100% compliance with IEEE 1016 standards by engineering an evaluation engine that
automatically rejects and regenerates AI outputs scoring below 8/10.
• Minimized production bugs and ensured stable pipeline execution by achieving over 80% test
coverage across core backend modules using automated unit tests.
Technical Skills
• Programming Languages: Python, SQL, JavaScript.
• AI and Machine Learning: LangGraph, LangChain, Retrieval-Augmented Generation (RAG),
LLMs, Prompt Engineering.
• Backend and Frameworks: FastAPI, Django, Flask.
• Databases: PostgreSQL, MySQL, SQLite, ChromaDB.
• Tools and DevOps: Git, GitHub, Linux.
Selected Projects
• Enterprise AI Agent API Gateway (Personal Project) | Jan 2026 – Present
• AI-Powered Reverse Engineering Pipeline (Bachelor's Thesis) | May 2025 – Present
Education
BSc, Applied Informatics | Comenius University Bratislava | Sep 2023 – Jun 2027 (Expected)
Languages
Slovak (B2), English (B2), Ukrainian (Native)
Bratislava, Slovakia | [
Summary
Junior AI Engineer specializing in backend development and AI systems. Built automated LLM pipelines
that reduced documentation time by 90%, and RAG architectures that analyse 20,000+ line codebases in
under 3 seconds. Experienced with FastAPI microservices and multi-agent systems.
Key Skills & Achievements
AI Systems & RAG Architecture
• Developed a LangGraph-based multi-agent system to automate source code analysis, generating
architectural documentation and PlantUML diagrams in under two minutes - reducing manual
engineering time by 95%.
• Built a RAGpipeline using ChromaDB for automated GitHub repository ingestion, enabling context
retrieval from over 20,000-line codebases in under 3 seconds.
Backend Development & API Engineering
• Implemented Server-Sent Events (SSE) using FastAPI to stream AI reasoning steps, improving
frontend response times by 85% and over and delivering first tokens in under 1.5 seconds.
• Scaled AI agent execution by engineering an asynchronous REST API Gateway, successfully
handling 50+ concurrent requests without event loop blocking, increasing overall system
throughput by 300%.
• Eliminated 100% of server crashes caused by malformed payloads by enforcing strict Pydantic
validation schemas across 15+ API endpoints within a Django backend.
Software Engineering & Testing
• Guaranteed 100% compliance with IEEE 1016 standards by engineering an evaluation engine that
automatically rejects and regenerates AI outputs scoring below 8/10.
• Minimized production bugs and ensured stable pipeline execution by achieving over 80% test
coverage across core backend modules using automated unit tests.
Technical Skills
• Programming Languages: Python, SQL, JavaScript.
• AI and Machine Learning: LangGraph, LangChain, Retrieval-Augmented Generation (RAG),
LLMs, Prompt Engineering.
• Backend and Frameworks: FastAPI, Django, Flask.
• Databases: PostgreSQL, MySQL, SQLite, ChromaDB.
• Tools and DevOps: Git, GitHub, Linux.
Selected Projects
• Enterprise AI Agent API Gateway (Personal Project) | Jan 2026 – Present
• AI-Powered Reverse Engineering Pipeline (Bachelor's Thesis) | May 2025 – Present
Education
BSc, Applied Informatics | Comenius University Bratislava | Sep 2023 – Jun 2027 (Expected)
Languages
Slovak (B2), English (B2), Ukrainian (Native)
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