Svetlana Subbotina

I’m a multilingual QA & AI Evaluation specialist with hands-on experience in data validation, quality assurance, process analysis, and evaluation workflows. I’m at my best when I can identify inconsistencies, apply guidelines, document issues clearly, and help teams build more reliable processes.

In my recent roles in Buenos Aires, I managed operational workflows and maintained quality control across ongoing tasks. I coordinated with external contractors and designers, created structured documentation and tracking systems, and analyzed workflows to close process gaps and reduce errors.

My AI evaluation work focuses on comparative response evaluation, prompt testing and iteration, and LLM output evaluation. I assess response quality, instruction adherence, and AI-generated content using rubric-based evaluation, fact-checking, and consistency analysis.

Before transitioning fully into QA and evaluation, I built strong quality fundamentals as a Clinical Laboratory Technician, working with protocol-based processes where accuracy, reproducibility, and quality control were essential. I bring that same quality mindset to my work today—making sure data is correct, processes are transparent, and outcomes meet the standard.