carlos rodriguez simon

I’m a Data Scientist and Python developer with a PhD in Biological Sciences, combining research rigor with industry experience building, validating, and improving AI training data and machine learning workflows. I’m especially focused on statistical analysis, experimental design, and LLM evaluation—turning messy inputs into reliable datasets and trustworthy outputs. At Turing, I evaluate AI-generated Python code, biological reasoning, and scientific content for large language model training. I design prompts, reference solutions, and evaluation criteria, execute and optimize Python scripts in Google Colab, and perform quality assurance on structured JSON datasets to ensure technical accuracy and logical consistency. Previously, as a Technical Writing & AI Validation Contributor at Outlier, I reviewed AI-generated STEM content for scientific accuracy and logical consistency, strengthening dataset reliability through structured review and detailed feedback. In parallel, my doctoral work at INTEMA – CONICET focused on microbial electrochemical systems, where I developed Python and R workflows, applied statistical and multivariate analysis, and contributed to peer-reviewed publications. I bring an additional academic strength from over five years as a University Teaching Assistant, mentoring students in quantitative reasoning, experimental design, data interpretation, and scientific problem solving. I enjoy applying data science, automation, and AI to real-world problems, while continuously expanding my software engineering, cloud technologies, and business intelligence capabilities.