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João Pedro K. De Q. Verçosa is listed as Machine Learning Engineer @Capgemini | Deep Learning Expert | Artificial Intelligence Specialist at Capgemini, a with 232507 employees, based in Rio De Janeiro, Brazil. AeroLeads shows a matched LinkedIn profile for João Pedro K. De Q. Verçosa.
João Pedro K. De Q. Verçosa previously worked as Artificial Intelligence Consultant at Capgemini and Scientific researcher in Artificial Intelligence at Laboratory Of Intelligence And Applied Robotics (Lira). João Pedro K. De Q. Verçosa holds Master Of Engineering - Meng, Artificial Intelligence, Decision Support Methods from Pontifícia Universidade Católica Do Rio De Janeiro.
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At the forefront of AI innovation, my recent role at the Laboratory of Intelligence and Applied Robotics (LIRA) involves enhancing legal automation, utilizing advanced NLP to streamline the Brazilian justice system. Our team's work with BERT and Llama 3 models has markedly improved the +Acordo platform, showcasing my proficiency in machine learning and software development.As an MEng candidate at Pontifícia Universidade Católica do Rio de Janeiro, my academic endeavors intersect with my professional expertise, focusing on artificial intelligence applications. Committed to ethical AI development, my goal is to leverage technology to elevate human life, evidenced by our transformative project with the Rio de Janeiro State Court of Justice.
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• Developed a recommendation system for an unbalanced dataset, utilizing XGBoost and feature engineering. Implemented multiclass classification models for all classes and binary classification models for each individual target label. Achieved an overall weighted average accuracy of 76%.• Created a code coverage system using Generative AI to automate test generation for clients, added to the company's AI product showcase.
Rio De Janeiro, Puc-Rio
• Enhanced automation for legal processes, aiming to reduce the number of new cases being open, reducing the burden on the Brazilian justice system• Fine-tuned BERT and Llama 3 models for Named Entity Recognition (NER) using handmade datasets.• Developed pipelines for training, evaluating, and inferencing the BERT model with ZenML framework.• Worked with sets of over 300,000 documents, creating pre-processing flows and filters.• Trained similarity identification models, using Semantic Textual Similarity with sentence transformers, crucial to automating the process of proposing an agreement.
Rio De Janeiro, Puc-Rio
• Developed 5 preprocessing routines to enhance data quality and consistency in a 6-month pilot project with over 500,000 registers.• Implemented an ensemble of supervised Machine Learning models, creating 15 distinct scenarios and achieving an accuracy of 0.918.• Utilized Fuzzy String Matching algorithms to improve relational accuracy between databases.
Rio De Janeiro, Brasil
• Enhanced a Web Development course with 150+ logic exercises for programming and data structures.• Assisted in creating 50 automated tests for student projects to maintain quality standards.• Utilized JavaScript, HTML, CSS, TypeScript, Node.js, Chaijs, Cypress, Puppeteer, and Docker.• Demonstrated adaptability in a startup environment, contributing to varioustasks.
Rio De Janeiro, Brasil
• Created and reviewed educational content for +85 website pages to enhance user engagement.• Contributed to the SEO team by optimizing content for improved Google rankings.• Developed skills in didactics, continuous learning, writing, video production, and SEO strategies.
Rio De Janeiro, Brasil
• Produced engaging text and video content for Responde Aí website on Physics, Linear Algebra, Calculus, and Programming.• Collaborated with team members to ensure accurate and informative educational materials.• Implemented innovative teaching methods to enhance user engagement and learning outcomes.
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Arijit Baidya
Colleague at CapgeminiWest Bengal, India
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Kim Tessa Blauza
Colleague at CapgeminiBavaria, Germany
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Umakanth Rao Bathina
Colleague at CapgeminiAndhra Pradesh, India
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Jiddu Asaph Madrigal Avila
Colleague at CapgeminiGuatemala
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José Eddie Junior Saboia De Castro
Colleague at CapgeminiCascais, Lisbon, Portugal
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Shreyans Khard
Colleague at CapgeminiAurora, Illinois, United States
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Sreeju Raveendran
Colleague at CapgeminiBengaluru, Karnataka, India
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Maja Blixøen
Colleague at CapgeminiNorway
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Anvay Chavan
Colleague at CapgeminiPune, Maharashtra, India
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Erick Yahel Gutierrez Barba
Colleague at CapgeminiMexico
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Quick answers generated from the profile data available on this page.
João Pedro K. De Q. Verçosa works for Capgemini.
João Pedro K. De Q. Verçosa is listed as Machine Learning Engineer @Capgemini | Deep Learning Expert | Artificial Intelligence Specialist at Capgemini.
João Pedro K. De Q. Verçosa is based in Rio De Janeiro, Brazil while working with Capgemini.
João Pedro K. De Q. Verçosa has worked for Capgemini, Laboratory Of Intelligence And Applied Robotics (Lira), Driven Education, and Responde Aí.
João Pedro K. De Q. Verçosa's colleagues at Capgemini include Arijit Baidya, Kim Tessa Blauza, Umakanth Rao Bathina, Jiddu Asaph Madrigal Avila, and José Eddie Junior Saboia De Castro.
You can use AeroLeads to view verified contact signals for João Pedro K. De Q. Verçosa at Capgemini, including work email, phone, and LinkedIn data when available.
João Pedro K. De Q. Verçosa holds Master Of Engineering - Meng, Artificial Intelligence, Decision Support Methods from Pontifícia Universidade Católica Do Rio De Janeiro.
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