Oleksandr Dovhulia

I am an analytical lead and Master of Engineering with 5+ years in quantitative analysis and statistical modeling, focused on financial and sports markets. I develop algorithmic models in Python/Colab and build automated visualization tools to ensure model transparency.

My work centers on evaluating complex AI logic, Red Teaming for technical safety, and hardening model reasoning through meticulous data annotation and edge-case detection. I apply time series forecasting, predictive modeling, and anomaly detection to identify inefficiencies and inform decision-making under uncertainty.

With a background in food safety engineering and QA, I bring rigorous risk assessment and documentation practices to AI safety and model evaluation, combining engineering discipline with advanced data science techniques.