CV
A PDF version is available here (drop a cv.pdf into the /files/ directory of the repo).
Paulo Akira Figuti Enabe · paulo.enabe@usp.br · +55 11 97205-0495 · Brazilian citizen
Education
- Ph.D. in Structural Engineering, Polytechnic School, University of São Paulo — Sep. 2022 – Present
- M.Sc. in Structural Engineering, Polytechnic School, University of São Paulo — Apr. 2021 – Dec. 2021
- B.Sc. in Mechatronics Engineering, Polytechnic School, University of São Paulo — Mar. 2016 – Dec. 2020
Complementary Education
- Machine Learning Engineer Nanodegree, Udacity — May 2021 – Jul. 2021
Experience
LyfeOS — Partner, São Paulo · Dec. 2023 – Present
- Responsible for handling innovation in AI/ML.
LyfeOS — Lead Data Engineer, São Paulo · Jul. 2023 – Present
- Lead the Data Engineering team — defining data architecture, governance, and scalable infrastructure strategy.
- Head the AI/ML R&D team, overseeing research, experimentation, and production deployment of machine learning solutions.
- Architected and deployed a scalable cloud-based data lake, enabling centralized analytics and high-volume data processing.
- Designed and maintained end-to-end ML pipelines: data ingestion, feature engineering, model training, validation, and production monitoring.
- Built and orchestrated multi-agent AI systems to automate complex workflows, enabling autonomous task coordination and decision-making.
- Implemented MLOps / CI-CD practices for ML models, improving deployment reliability and time-to-production.
Insper — Professor, São Paulo · Feb. 2023 – Present
- Professor of Computational Mechanics.
- Research topics in Machine Learning and Numerical Methods.
Accenture Global — Consultant, São Paulo · Sep. 2022 – Jul. 2023
- AI and Data Lead in a Saudi Arabian bank.
- Software Engineer in a United Arab Emirates investment company.
- Software and Machine Learning Engineer in a UK telecommunications-company project.
- Tech Lead of a governance tool developed for Growth Studio.
Accenture Brasil — Software Engineer, São Paulo · Dec. 2020 – Sep. 2022
- Lead of a metaverse project, integrating business, creative, and technology.
- Lead of an applied-intelligence project, integrating business, creative, and technology.
- Led the AI team for research and development in the Labs department of Liquid Studios Brazil.
- Software engineer of a car-logistics project (designed an AWS-based solution).
- Software engineer in a telecommunications-company project.
- Head of an internal educational program teaching machine learning to non-specialist audiences.
- Developed cloud system architectures for ML and web applications.
- Developed system architectures for quadruped robots.
- Contributed to the quantum-computing group in the Labs department of Liquid Studios Brazil.
Cambridge Family Enterprise Group — Summer Intern, São Paulo · Jan. 2019 – Feb. 2019
- Worked on projects related to the governance of family-owned enterprises.
- Architected a database for prospecting family companies in Brazil.
Offshore Mechanics Laboratory — Researcher, São Paulo · Dec. 2017 – Present
- Research projects on marine structures, machine learning, and numerical methods.
- Started a research group focused on pure-mathematics topics.
- Co-advised undergraduate scientific-initiation students.
Projects
Research in Applied Mathematics and Machine Learning — Dec. 2022 – Present
- Developing a tensor manipulation library focused on deep learning.
- Designing compilers focused on numerical processes.
- Optimizing multi-head attention mechanisms in Transformer architectures.
- Developing Small Language Models with domain-specific knowledge.
- Research in numerical methods for Partial Differential Equations.
Research in Applied Mathematics and Machine Learning — Dec. 2019 – present
- Physics-Informed Neural Networks (PINNs) and their variants.
- Numerical methods with artificial neural networks, focused on approximation theory.
- Deep learning for nonlinear problems in solid mechanics.
- Applied functional analysis.
- Numerical methods for Partial Differential Equations.
Applied Mathematics for Computer Simulation in Structural Engineering — Jul. 2019 – Dec. 2019
- Virtual Element Method applied to rheological models.
- Alternative mathematical formulation for the Virtual Element Method.
- Graphical user interface (GUI) for the Virtual Element Method.
- Interface of pure and applied mathematics in complex systems.
- Numerical methods for Partial Differential Equations.
Web application for Cursinho da Psico (social project for high-school students) — Jul. 2019 – Dec. 2019
- Built a web application supporting the social project’s internal processes.
Mathematics Coordinator — Cursinho da Psico — Dec. 2017 – Oct. 2019
- Led the math faculty and taught classes in the social project Cursinho da Psico.
Scientific Initiation in Engineering — Dec. 2017 – Oct. 2019
- Research in structural engineering on the numerical simulation of wind turbines.
Scientific Initiation in Mathematics — Jun. 2016 – Jan. 2018
- Research in pure mathematics on real and functional analysis.
Languages
- Portuguese — native
- English — fluent
- German — basic
- French — basic
Skills
- Programming languages: Python, C/C++, C#, JavaScript
- Tools / frameworks: AWS, MATLAB, Figma, ROS/Gazebo, GitHub, Microsoft Office, Ansys, Abaqus, TensorFlow, PyTorch, MLflow, Optuna, Flask, Pandas, Angular, Node.js, Flutter, Next.js, React, LangChain