AI / ML Engineer & Quantitative Analyst

I am an MSc Engineer with a strong background in high-stakes quantitative analysis and risk management. I specialize in building data-driven systems to identify patterns and mitigate risks in fast-paced environments. Currently, I am developing advanced algorithmic investment models in Python, focusing on multi-stage data pipelines and statistical forecasting. I apply rigorous engineering standards such as HACCP and ISO to ensure model reliability and technical safety.

My core competencies include data science techniques like time series analysis, feature engineering, and statistical pattern recognition. I have deep expertise in quantitative analysis, including risk assessment using the Kelly Criterion, probability theory, and volatility analysis. My technical stack primarily involves Python libraries such as Pandas, NumPy, Scikit-learn, XGBoost, and Matplotlib, along with SQL and Google Colab.

In my professional experience, I have developed hybrid forecasting frameworks analyzing price movements through candle-based and percentage-change models. I integrate macro-economic indicators into models to improve predictive accuracy and conduct deep statistical analyses of market patterns, focusing on growth and decay probabilities as well as volatility cycles. I have also implemented automated visualization tools to enhance dataset transparency and performance tracking.

Previously, I worked as a Quantitative Markets Specialist and Sports Trading Analyst, managing risk and capital allocation in high-frequency competitive markets for over five years. I identified market inefficiencies using statistical pattern recognition and real-time probability assessments and developed disciplined frameworks for evaluating complex, multi-variable scenarios under high pressure.

Earlier in my career, I was a Food Safety Engineer and Engineering Specialist, mastering rigorous safety protocols and documentation standards in industrial environments. I applied engineering logic to identify critical failure modes, skills that I now use for AI safety and hardening model reasoning.

I am fluent in English and Ukrainian and proficient with tools such as Google Colab, Jupyter Notebooks, Git, and SQL. I am passionate about leveraging my engineering and quantitative skills to build reliable, data-driven AI systems that perform robustly in dynamic environments.