Thiago Mota dos Santos
Prompt Engineer @Innodata Inc.
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WORK HISTORY
Prompt Engineer @Innodata Inc.
ON, CA
Collaborated with data scientists, linguists, and marketing teams to design and optimize prompts for text generation, localization, and data labeling using transformer-based LLMs (e.g, OpenAI, Hugging Face).Automated classification and annotation workflows by integrating LLMs into scalable data pipelines, enhancing the efficiency and consistency of outputs across regions.Evaluated model performance with key metrics, conducted user testing, and communicated results to stakeholders to refine prompt design and improve linguistic and cultural relevance.
EDUCATION
MBA USP/Esalq
MBA em Data Sciente e Analytics, Inteligência artificial, Data science and Machine Learning
Universidade Federal de Pernambuco
Economics
ABOUT THIAGO MOTA DOS SANTOS
With 3 years of hands-on experience in data science, I am passionate about building and deploying scalable machine learning solutions that solve critical business problems. My journey from a Bachelor\'s in Economics to an MBA in Data Science has equipped me with a unique lens to not only develop complex algorithms but also to frame them within a strategic business context to drive revenue and efficiency.My core expertise lies in Natural Language Processing (NLP), Large Language Models (LLMs), and Retrieval-Augmented Generation (RAG). At TC, I spearheaded the development of an AI-powered system that automated financial content analysis, reducing the editorial team\'s manual workload by a remarkable 85%. I have a proven track record of managing the full project lifecycle, from fine-tuning models to deploying them as robust APIs using Python, FastAPI, Docker, and Google Cloud Platform (GCP). I am proficient in Python, SQL, GCP, and a range of machine learning frameworks. My background in economics provides a solid foundation for quantitative analysis and a deep understanding of market dynamics, which I apply to create impactful, data-driven products.
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