Дмитрій

DMYTRII Python AI Engineer focused on building LLM-powered assistants, RAG systems and
automation workflows for real business tasks. I have delivered 7+ freelance, academic
FENDRYKOV and project-based tasks — AI assistants, backend modules, ML projects, automation
AI ENGINEER flows and working MVP prototypes. Comfortable across the stack: Python, REST
APIs/JSON and Docker on the engineering side; OpenAI API, Claude, RAG,
[open contact info](look above in the "contact info" section) embeddings and vector search on the AI side. I understand how LLMs work under the
hood — context, tokens, function/tool calling — and know when a task needs fine-tuning
[open contact info](look above in the "contact info" section)
versus when prompt engineering is enough. Well versed in Claude, Claude Code and
Ukraine, Kharkiv Codex, with a solid grounding in ML. I know how to integrate AI into Telegram bots, APIs
[open contact info](look above in the "contact info" section) and n8n to automate routine work.
901329343/
github.com/DimaFendrikov WORK EXPERIENCE

AI Engineer & Python Backend Developer Feb 2024 – Present
SKILLS Independent Projects & Freelance
Delivered 7+ freelance, academic and project-based AI/backend tasks — from
Python requirements to working MVPs, prototypes and backend modules;
Built a FastAPI-based RAG assistant for GitHub repository analysis: file processing,
AI Engineering
chunking, embeddings, vector search, context retrieval and LLM-based answers;
LLM APIs Developed an n8n-based AI workflow for vacancy analysis: requirement extraction,
profile matching, match scoring and explanation generation;
OpenAI API Built backend modules (FastAPI, Django) with REST APIs, JSON-based integrations,
CRUD workflows, authentication, database logic and admin panels;
Claude & Claude Code
Worked with core LLM concepts — context windows, tokens, function/tool calling — and
Function / Tool Calling OpenAI/Claude APIs to design reliable, production-ready assistant logic;
Evaluated fine-tuning vs. prompt engineering on a per-case basis (incl. voice agent
Fine-Tuning scenarios, where prompt engineering was the critical lever), balancing accuracy, cost and
latency;
Prompt Engineering
Integrated external APIs and messaging platforms (Telegram Bot API and others) to
connect AI logic to real user-facing interfaces;
RAG
Used Docker for containerized deployment and Git for version control across all projects;
Embeddings use Claude Code daily for AI-assisted development, debugging and code review.

FastAPI PROJECTS

REST APIs, JSON n8n AI Vacancy Analysis Workflow Nov 2025 – Dec 2025
Built an AI automation workflow that analyzes job descriptions, compares requirements
Docker, Git
with a user profile and generates a match score with a short explanation;
API Integrations Implemented workflow automation logic with triggers, data processing, an AI step, result
formatting and user-facing output.
Automation Workflows
CodeMentor RAG – AI Assistant for GitHub Repository Oct 2025 – Nov 2025
n8n Understanding
github.com/DimaFendrikov/codementor-rag
Developed a FastAPI-based RAG assistant that automates GitHub repository
LANGUAGES understanding through file processing, chunking, embeddings, ChromaDB, vector search
and LLM-based answers;
English B2
Implemented context retrieval, prompt-based response generation, quiz generation, a
Ukrainian Native web interface and Docker support, turning raw repository files into an interactive AI
assistant prototype.

EDUCATION

Erasmus+ Exchange Student Feb 2025 – Jan 2026
Alpen-Adria-Universität · Klagenfurt

Bachelor’s Degree in Intelligent Systems and Computer Sep 2022 – Jun 2025
Science
National Technical University «Kharkiv Polytechnic Institute»