Ілля

Illia Sydorchuk
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 Agentic AI and RAG architectures. Hands-on experience building Multi-Agent
systems with LangGraph and self-correction loops. Proficient in Python, its web frameworks, and vector
databases. Currently focusing on automating complex workflows through LLM-driven solutions.

Key Skills & Achievements
AI Systems & RAG Architecture
•Multi-Agent Systems: Architected a sophisticated Multi-Agent system using LangGraph, featuring a strict self-
correction feedback loop between "Generator" and "Reviewer" agents to automate source code analysis.
•RAG Pipelines: Built a dynamic Retrieval-Augmented Generation (RAG) pipeline using ChromaDB for
automated GitHub repository ingestion, enabling AI to instantly parse and understand large, undocumented
codebases.
•Prompt Engineering: Developed advanced prompt templates with strict syntax guardrails, enabling flawless
generation of complex architectural diagrams (PlantUML) via Google Gemini models.

Backend Development & API Engineering
Asynchronous APIs: Developed a high-performance, asynchronous REST API Gateway using FastAPI to deploy
•

AI agents as enterprise-ready microservices.
Real-time Streaming: Implemented Server-Sent Events (SSE) via StreamingResponse to broadcast AI reasoning
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steps in real-time, significantly minimizing frontend perceived latency.
Web Applications: Built full-stack task management and database systems utilizing Django and SQLite,
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implementing robust ORM models and strict data validation (Pydantic).

Software Engineering & Testing
•C++ & Object-Oriented Design: Developed an object-oriented C++ application to parse and process large-scale
demographic data, featuring a custom SQL-like command parser.
•Automated Evaluation: Engineered an automated Evaluation Engine that critiques AI-generated outputs
against rigid engineering metrics (OOP Principles, Clean Architecture, IEEE 1016 standards).
•Quality Assurance: Ensured system reliability and data integrity by writing comprehensive unit tests using
Google Test and implementing strict input validation mechanisms.

Skills
Programming Languages: Python, C++, SQL, JavaScript.
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AI & Machine Learning: LangGraph, LangChain, Retrieval-Augmented Generation (RAG), Large Language
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Models (LLM), Prompt Engineering, Multi-agent Systems.

Backend & Frameworks: FastAPI, Django, Flask.
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Databases: PostgreSQL, MySQL, SQLite, ChromaDB.
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Tools & DevOps: Git, GitHub, Linux.
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Selected Projects
Enterprise AI Agent API Gateway 01/2026 – Present

AI-Powered Reverse Engineering Pipeline (Bachelor's Thesis) 05/2025 – Present

Demographic Data Calculator (C++) 11/2024 – 01/2025
Education
BSc, Applied Informatics, Comenius University Bratislava 09/2023 – 06/2027

Languages
Ukrainian Slovak English
Native B2 B2