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Henrique Heron Magalhães
Ai Engineer Pwc @Manpower
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WORK HISTORY
Ai Engineer Pwc @Manpower
São Paulo, BR
With the successful completion of the Google project, IBM invited me to work at PwC.I leverage a hybrid stack of classical ML and Generative AI to build scalable intelligent systems- Generative AI & LLMs: Architecting RAG (Retrieval-Augmented Generation) pipelines and autonomous agents using LangChain to automate complex workflows and enhance data retrieval- Deep Learning: Designing and optimizing neural networks with TensorFlow, focusing on model performance and low-latency inference- Predictive Modeling: Developing robust machine learning frameworks using scikit-learn for feature engineering, classification, and regression analysis on large-scale datasets- End-to-End MLOps: Managing the full lifecycle from data preprocessing to model deployment and monitoring.
EDUCATION
USP - Universidade de São Paulo
Bacharelado, Gestão de Políticas Públicas
Universidade Anhanguera São Paulo
Bacharelado, Ciência da Computação
ETEC de Suzano
Ensino Técnico, Química
ABOUT HENRIQUE HERON MAGALHÃES
AI Engineer focused on creating production-grade LLM applications and machine learning models. I have over 2 years of experience delivering scalable solutions within the Google Cloud ecosystem, moving from high-impact Data Engineering into specialized AI development.I build intelligent systems that bridge the gap between raw data and actionable automation- Generative AI: Implementing RAG (Retrieval-Augmented Generation) and agentic workflows using LangChain and n8n- Machine Learning: Developing models using scikit-learn and TensorFlow for predictive tasks and data analysis- Rapid Prototyping: Built ReSumo, an AI-based resume analyzer currently helping users optimize their professional profiles.
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