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Work experience

AI engineer

from 04.2025 to now (1 year 5 months)
Self Employed, Дистанційно (IT)

- Architect and implement Large Language Model (LLM)-powered systems for automation, conversational interfaces, and data-driven workflows.

- Design and deploy Retrieval-Augmented Generation (RAG) pipelines using FAISS/ Qdrant for high-recall semantic search.

- Build AI agents capable of structured reasoning, SQL interaction, and multi-step task execution.

- Develop FastAPI-based inference services for multi-user environments with asynchronous request handling.

- Design modular LLM abstraction layers enabling model interchangeability (API-based and local models).

- Deploy GPU-accelerated local LLMs for secure and low-latency environments.

Stack: Python, FastAPI, Aiogram, Qdrant, FAISS, AsyncIO, PyTorch, HuggingFace, Transformers, LoRA, QLoRA, Sentence Transformer

AI engineer

from 12.2024 to 02.2025 (3 months)
Cyberette, Дистанційно (IT)

- Architected modality-specific deep learning models for image and audio deepfake detection.

- Defined training pipelines and evaluation protocols using confusion matrix-driven optimization.

Stack: Python, Tensorflow, Keras, Numpy, Colab

AI engineer

from 09.2024 to 12.2024 (4 months)
ReNewator, Дистанційно (IT)

Covered By NDA

AI engineer

from 11.2023 to 08.2024 (10 months)
Self Employed, Дистанційно (IT)

Focused on early adoption and applied integration of Large Language Models into automation workflows.

- Developed Telegram-based AI assistants powered by LLM APIs.

- Built document summarization and text-processing automation tools.

- Designed prompt-driven pipelines for structured output generation.

- Implemented backend services for LLM-based processing using Python.

Stack: Python, OpenAI, FastAPI, SQLite

AI engineer

from 06.2023 to 10.2023 (5 months)
BETINVEST, Дистанційно (Послуги для населення та бізнесу)

- Designed and trained 3D Convolutional Neural Network (3D CNN) architecture from scratch for event detection from video sequences.

- Implemented real-time inference pipeline (~30 FPS).

- Built multi-threaded evaluation system for accelerated validation.

Stack: Python, Tensorflow, Keras, Numpy, Multithreading

Career break

from 04.2022 to 05.2023 (1 year 2 months)
Working on a personal project

Machine Learning Engineer

from 12.2021 to 03.2022 (4 months)
GameGuard, Дистанційно (IT)

- Designed and implemented CNN.

- Defined model topology, convolutional blocks, and training strategy.

- Built preprocessing and augmentation pipelines in Python.

Stack: Python, Tensorflow, Keras, Numpy, Multithreading

Education

Краснопавлівський багатопрофильний ліцей

Загальний, Краснопавлівка
Specialized secondary, from 1999 to 2010 (11 years)

Additional education and certificates

No additional education or certificates.

Knowledge and skills

• NumPy
• Keras
• Python
• TensorFlow
• Data mining
• Model Evaluation
• Model Training
• Machine learning
• Large Language Models
• Computer vision
• FastAPI
• Asyncio
• Transformers
• HuggingFace
• Whisper
• Real-Time Inference
• REST
• OpenAI
• Prompt Engineering
• Pipeline Design
• RAG

Language proficiencies

• English — average
• Ukrainian — fluent