Контактная информация

Соискатель указал телефон , эл. почту и LinkedIn.

Получить контакты этого кандидата можно на странице https://www.work.ua/resumes/17568303/

Опыт работы

AI engineer

с 04.2025 по наст. время (1 год)
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

с 12.2024 по 02.2025 (3 месяца)
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

с 09.2024 по 12.2024 (4 месяца)
ReNewator, Дистанційно (IT)

Covered By NDA

AI engineer

с 11.2023 по 08.2024 (10 месяцев)
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

с 06.2023 по 10.2023 (5 месяцев)
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

Пауза в карьере

с 04.2022 по 05.2023 (1 год 2 месяца)
Работа над собственным проектом

Machine Learning Engineer

с 12.2021 по 03.2022 (4 месяца)
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

Образование

Краснопавлівський багатопрофильний ліцей

Загальний, Краснопавлівка
Среднее специальное, с 1999 по 2010 (11 лет)

Дополнительное образование и сертификаты

Нет дополнительного образования и сертификатов.

Знания и навыки

• 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

Знание языков

• Английский — средний
• Украинский — свободно