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Mykola Zubii

@mykolazubii

AI Engineer at Avitek building a controlled quantum-computing assistant that runs validated workflows on real quantum hardware.

Georgia

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At Avitek Inc, I built an AI assistant that turns natural-language requests into quantum workflows and runs them on simulators or real hardware. I designed safeguards that keep LLM reasoning separate from execution authority, with validated workloads and explicit approvals before hardware use.

I also engineered four quantum and hybrid ML workflows across IBM Quantum, AWS Braket, Azure Quantum, and local simulators. The assistant combines hybrid retrieval with citations and a provider-neutral inference layer, while a fine-tuning and deployment pipeline supports open-weight models.

Previously, at Thomas Murray, I developed an AI-powered customer support assistant and a domain validation service processing 100K+ records daily. At Morcheka Technology, I developed text-classification services and web-crawling systems; my earlier freelance projects included browser automation, time-series forecasting, and image defect detection.

Experience

Work history, roles, and key accomplishments

Current

AI Engineer

Current

Avitek Inc

Mar 2026 - Present (8 months)

Built an AI assistant for quantum computing and hybrid ML from the ground up, taking it from initial architecture through to production. Designed a custom stateful agent harness, hybrid RAG system, and provider-neutral LLM inference layer.

Python fastAPI RAG Vector Search Hybrid Search Qdrant Lang Chain LangGraph MCP Fine Tuning PEFT LoRAs QLoRA VLLM AWS Sagemaker IBM Quantum Experience AWS Braket Microsoft Azure Quantum Docker CI CD Langfuse MLFlow

Python Developer and Machine Learning Engineer

Thomas Murray

Oct 2022 - Feb 2026 (3 years 4 months)

Developed an AI-powered customer support assistant, a domain validation service processing 100K+ records daily, and applied data analysis and NLP techniques. Maintained and optimized existing services for high performance and reliability.

Python LLM RAG Vector Databases gRPC Docker GitLab CI CD NER Lang Chain NLP Data Analysis MLFlow

Python Developer and Machine Learning Engineer

Morcheka Technology

Jan 2021 - Sep 2022 (1 year 8 months)

Designed and deployed a text classification system using PyTorch, Scikit-learn, and CatBoost. Architected a web crawling system and performed system analysis with data visualization using Streamlit.

Python PyTorch scikit learn CatBoost Flask Docker gRPC CI CD Streamlit Web Crawling Data Visualization

Python Developer and Machine Learning Engineer

Freelance

Aug 2020 - Dec 2020 (4 months)

Engineered a browser automation bot using Selenium, developed time-series forecasting models with ARIMA and LSTM, and built computer vision models for image defect detection.

Python Selenium Docker ARIMA LSTM TensorFlow OpenCV Computer Vision REST APIs

Education

Degrees, certifications, and relevant coursework

Sevastopol State Technical University

Bachelor's, Control in Technical Systems

2016 - 2020

Activities and societies: Research Paper: Application of neural networks to solve the inverse problem of kinematics.

Bachelor's degree in Control in Technical Systems with a focus on Robotics. Research paper on applying neural networks to solve the inverse kinematics problem for a three-joint manipulator, achieving 99% accuracy.