I’m a science-driven professional with a strong academic foundation in biology, chemistry, and pharmaceutical sciences, and I hold a Master’s degree in Pharmaceutical Sciences. My training includes biochemistry, metabolomics, toxicology, and data analysis, and it shaped the way I approach problems: analytically, methodically, and with a deep respect for evidence. I’m used to working with complex scientific material, extracting meaning from dense data, and translating technical information into clear, structured insights. Throughout my academic path, I’ve contributed to research projects and published scientific articles, which trained me to be precise, critical, and intellectually honest.
In recent years, I transitioned into AI training, data annotation, and model evaluation, where my scientific mindset became a real advantage. I’ve worked on multiple projects that require strict guideline compliance, attention to detail, and consistency over long periods of focused work. I’m especially strong at handling ambiguity when instructions are unclear, prompts are imperfect, or edge cases appear. I naturally break problems down, test interpretations against guidelines, and refine wording to improve clarity and accuracy. This is particularly true in domains related to health, life sciences, and technical reasoning, where small errors can completely change meaning.
Writing is one of my strongest skills. I’m fluent in English and Portuguese, with working knowledge of Spanish, and I’ve always had a strong relationship with language. Earlier in my academic life, I won multiple writing competitions, and that foundation still shows in my work today. I’m comfortable producing clear, structured, human-like written outputs, whether the goal is precision, explanation, or refinement. I’m especially effective in written tasks, where I can fully apply my analytical thinking and linguistic sensitivity.
Beyond technical skills, I bring discipline, resilience, and adaptability. I learn new platforms quickly, integrate feedback without ego, and stay consistent even in repetitive or high-volume tasks. I’ve balanced demanding academic work, AI contracts, and operational roles, which taught me how to perform reliably under pressure.
What truly drives me is purpose. I’m deeply motivated by the potential of AI to improve science, healthcare, and real human outcomes. My goal is to continue growing in AI-for-science roles, where I can combine scientific rigor, critical thinking, and strong communication to help build intelligent, responsible, and meaningful systems.