Wilder Lopes
Ph.D., AI founder (ogre.run) | Computing infra | Open source
- Role
- Founder & CEO at Ogre.Run
- Location
- Tulsa, OK, US
- LinkedIn followers
- 500 followers
About Wilder Lopes
I am an entrepreneur (second-time founder), developer, and research engineer.I am currently building ogre.run, an AI agent for code reproducibility - https://ogre.runFor developers, Ogre packages source code into reproducible environments, in seconds. Unlike other tools that need manual setup, Ogre’s AI analyzes the code and generates a set of reproducibility artifacts that make code work on a given computer. This empowers developers to work faster and ship applications that can run anywhere, out of the box.Before ogre.run- 20••••21: I was co-founder and CTO of Upstride (acquired by ContentSquare)- 20••••18: Doing machine learning for high-performance computing at Thales (as part of my PostDoc) and then UCit - 20••••16: Ph.D. in Electronics Engineering (machine-learning and signal processing) from the University of Sao Paulo, Brazil, with a one year-long research period at the Technical University Munich (TU Munich), Germany.
Experience
Founder & CEO
Dec 2023 — Present · US
For developers, ogre.run provides a platform to automate dependency management for source code and deploy the fully functional runtime environment. Unlike traditional devops tools that rely on humans to do the heavy lifting of curating a list of dependencies, ogre.run has AI at its core, saving hours of users’ time when trying to run source code.
Education
USP - Universidade de São Paulo
M.Sc., Electronics Engineering
2010 — 2012
Tokyo Metropolitan University
Aerospace, Aeronautical and Astronautical Engineering
2012 — 2012
Universidade Federal da Bahia
B.Sc., Electrical and Electronics Engineering
2003 — 2008
USP - Universidade de São Paulo
Doctor of Science (D.Sc.), Electronics Engineering
2012 — 2016
Skills
- Python
- Latex
- Qt Creator
- Analog
- Artificial Intelligence
- Vhdl
- Simulations
- Adaptive Filtering
- Java
- Microelectronics
- Signal Processing
- Artificial Neural Networks
- Mathematical Modeling
- Cadence
- Computer Vision
- Ic
- Research
- Matlab
- Hardware Architecture
- Numpy
- Git
- Analog Circuit Design
- Scikit-Learn
- Embedded C
- High Performance Computing (Hpc)
- Embedded Software
- Algorithms
- Asic
- Spectre
- Geometric Algebra
- Statistical Learning
- Machine Learning
- Microsoft Office
- C
- Programming
- Optimization
- Deep Learning
- C++
- Research and Development (R&D)
- Image Processing
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