Crizan Belém

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mentor

Jan 2025 - Current (1 year 2 months)

• Represent a Brazilian team in an international competition where a solution for optimizing quantum simulations was developed, receiving an honorable mention for the impact and technical innovation. The work included the application of federated learning based AI for distributed analysis of experimental data. Participation as a speaker, addressing the use of AI for digital inclusion of people with disabilities, including practical demonstrations of deep learning-based tools.

Systems Engineer

Boeing

Sep 2024 - Current (1 year 6 months)

• Development and implementation of software architectures to support large-scale data processing from embedded sensors • Implementation of fullstack engineering solutions with a focus on Python, integrating technologies such as Java, Node.js and Docker • Application of agile development and DevOps methodologies, leading the creation of CI/CD pipelines that automated testing, integration and deployment of software on critical systems. • Prepare detailed technical reports and conduct presentations to internal and external stakeholders, highlighting results and benefits of the implemented projects. • Design and implement software architectures following standards such as Clean Architecture and Domain-Driven Design (DDD), optimizing modul

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Senior Software Engineer

Vivo (Telefônica Brasil)

Jun 2023 - Sep 2024 (1 year 4 months)

• Implementation of AI/ML projects applying supervised learning techniques (such as deep neural networks, XGBoost) and unsupervised learning (such as hierarchical clustering, DBSCAN) to improve customer experience, personalizing recommendations and optimizing service journeys. • Developed real-time data analytics pipelines, integrating Azure Data Factory, Azure Synapse Analytics, and Big Data technologies like Apache Spark, enabling high performance predictive and reactive analytics. • It has created systems based on Bayesian statistics, support vector machines (SVM), and probabilistic models to identify anomalous patterns and detect financial fraud in real time, increasing accuracy in critical scenarios. • Led the construction of Opera

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Head of Artificial Intelligence

Danske Bank

Oct 2019 - Nov 2021 (2 years 2 months)

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Product Manager AI/ML R&D

BioNTech SE

Feb 2017 - Nov 2020 (3 years 10 months)

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Artificial Intelligence Engineer

Danske Bank

Jul 2016 - Sep 2019 (3 years 3 months)

• Creation of predictive models to identify anomalous behavior in large value financial transactions, ensuring security and reducing losses in premium customer portfolios. • Overseeing the use of Markowitz models and asset allocation analysis with deep learning to create investment strategies tailored to financial objectives and risk tolerance of VIP clients. • Work directly with financial advisors and account managers to translate premium customer needs into customized AI-powered solutions. • Creation of probabilistic models based on Bayesian Networks and Monte Carlo Inference to predict and classify financial risks in high-net-worth client portfolios, allowing preventive actions. • Development of transformer-based systems, such as BE

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Junior Product Manager Applied Science/AI

BioNTech SE

Feb 2015 - Feb 2017 (2 years 1 month)

• Development of models based on Deep Learning for analysis of medical images (digital histology), classification of biomarkers and integration of multiphonic data, using frameworks such as Keras and Scikit-learn. • Creation of automated tools for bioinformatics analysis with convulsional neural networks (CNNs) and Natural Language Processing (NLP) algorithms, to interpret genomic, transcriptomic and clinical data • Management of the complete lifecycle of AI/ML solutions, from conception and prototyping to development, testing, and launch, ensuring on-time and on-budget deliveries. • Assessing emerging trends in AI, such as federated learning, probabilistic modeling, and NLP techniques, introducing these technologies into solutions to i

Technology Consultant

Freelancer

Jun 2013 - Current (12 years 9 months)

• Development of an advanced e-learning system using recommendation algorithms based on convolutional neural networks (CNNs) and Deep Reinforcement Learning, implementing personalization pipelines that adapted content in real time for more than 100,000 users. This approach increased student retention by 40% and included hierarchical reinforcement learning techniques to optimize interactions. • Design and develop modular architecture for AI systems using Docker, Kubernetes and TensorFlow Extended (TFX), with a focus on MLOps to automate training, validation and deployment of models in production. • Design and implement AI systems using TensorFlow Extended (TFX) and PyTorch Lightning, integrated with MLOps pipelines for training automation

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Lecture

Jun 2013 - Current (12 years 9 months)

at national and international events on topics such as AI in Quantum Physics, Neural Networks for Scientific Data Analysis and Machine Learning Software Engineering. Highlights include presentations at conferences focused on Artificial Intelligence and emerging technologies

Crizan Belém

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