Arnon Bruno V.

AI Engineer and PhD Candidate in Artificial Intelligence
Federal University of Paraná, Curitiba, Brazil

I'm a passionate AI researcher, PhD candidate, and Principal AI Engineer specializing in Artificial Intelligence. My expertise lies in Neural Networks, Deep Learning, AI Agents, and Autonomous Control Systems, with a strong focus on applying AI to solve real-world energy consumption problems. Currently, my research revolves around developing a neural network controller for heavy-duty vehicle gearboxes using differentiable programming, optimizing energy efficiency in transportation. Beyond academia, I have hands-on experience in AI applications across industries, having worked as a Senior Data Scientist at Volvo Trucks, a Senior Data Analytics Advisor at ExxonMobil, and a Senior Data Scientist at Junto Seguros. I’m also passionate about AI education, serving as a Teaching Assistant for AI-focused courses at the University of Chicago and Brown University - School of Professional Studies, where I help bridge the gap between AI research and business applications. I strongly believe in leveraging AI to optimize energy use and drive impactful innovation.

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🎓 Education

• PhD in Artificial Intelligence (in progress)
  Federal University of Paraná, Curitiba, Brazil

  • Research: Neural Network Controllers and Autonomous Systems

• Master’s Degree in Computer Science
  Pontificia Catholic University of Paraná, Curitiba, Brazil

  • Thesis: On the Usage of Deep Learning to Code Clinical Narratives Using Self-Taught Word Embeddings

• Bachelor’s Degree in Information Technology
  UniOPET, Curitiba, Brazil

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🛠️ Skills

• Programming Languages: Python, Julia, Mojo, C++, C
• AI Expertise: AI Agents, Differentiable Programming, Deep Learning, Computational Linguistics, Optimization

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💼 Work Experience

• Principal AI Engineer @ Able (Current!)
• Senior Data Scientist @ Volvo Trucks
• Senior Data Analytics Advisor @ ExxonMobil
• Senior Data Scientst @ Junto Seguros

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🎓 Teaching & Educational Activities

• Teaching Assistant (TA) – Generative AI for Business @ University of Chicago
• Teaching Assistant (TA) – AI Business and Leadership @ Brown University - School of Professional Studies
• Mentor & Speaker – AI & Data Science topics in industry and academia
• Guest Lecturer – AI and Machine Learning applications in business and engineering

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🔬 Published Research

• Simulating Memory Access Patterns with Wasserstein-GAN

  • 2022: Anais da XXII Escola Regional de Alto Desempenho da Região Sul

• Generating Synthetic 2019-nCoV Samples with WGAN to Increase the Precision of an Ensemble Classifier

  • Ibero-American Journal of Applied Computing, May 2021

• Learning Portuguese Clinical Word Embeddings: A Multi-Specialty and Multi-Institutional Corpus of Clinical Narratives Supporting a Downstream Biomedical Task

  • MEDINFO 2019: Health and Wellbeing e-Networks for All, Volume 264, International Medical Informatics Association and IOS Press, November 2019

• Using Deep Convolutional Neural Nets with Self-Taught Word Embeddings to Perform Clinical Coding

  • Ibero-American Journal of Applied Computing, December 2018

• Predictive Models for Infant Mortality in the State of Paraná

  • Ibero-American Journal of Applied Computing, January 2018

• Deep Learning for Healthcare Management and Diagnosis

  • Ibero-American Journal of Applied Computing, December 2015

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🌟 Hobbies and Interests

I balance my intense professional and academic focus with physical activities like running and gym workouts. Staying active helps me maintain clarity and energy for tackling challenging AI problems.