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Wilder Lopes
AI founder (ogre.run) | Computing infra | Open source
Wilder Lopez, a Doctor of Science in Electronics Engineering from Universidade de São Paulo and former Applied Scientist at UCit, is a renowned expert in computer vision and machine learning. With a Master's degree in Electronics Engineering, Bachelor's in Electrical and Electronics Engineering, and a background in Aerospace, Aeronautical, and Astronautical Engineering, he has spent several years in research, development, and engineering roles at various organizations. Wilder is currently the co-founder and CTO of UpStride, whose AI models are trained using minimum data, and provides an API for computer vision to organizations. He has a passion for audio engineering, which he developed during his training at Audium. He was also an Analog and Mixed-Signal IC Engineer at LSI-TEC and an Analog and Mixed-Signal IC Designer at IC Brazil. Wilder was a Ph.D. student at the Universidade de São Paulo and a Visiting Ph.D. Researcher at Technical University Munich, where he honed his skills in Machine Learning, Data Analysis, and Image Processing. He was also an Entrepreneur at Entrepreneur First and an Experienced Researcher at Thales Research and Technology - INFIERI.
Highlights
So many great ideas get lost in messy, unreadable code.
Code repositories often resemble unedited diaries, where developers haven’t taken the time to refine or prioritize their ideas.
The ability to sift through and separate valuable concepts from the clutter, on a regular basis, is what drives true innovation. The best companies make this discipline second nature, it is part of their culture.
Get the culture right, then use the proper automation tool to amplify your capabilities. If you don’t have a sense of the potential of your code portfolio, there is no “visibility” tool that will save you.
That’s how companies can prioritize real business value over dead-end experimentation.
#devtools
A lot of times, it is handy to be able to move your coding project from your local computer to a cloud server using a single command.
You might want to do this to have access to GPUs in the cloud, for example. But cloud providers still lack some features that make it easier for devs.
At Ogre.run, we've been leveraging our open source tool miniogre to do exactly that.
miniogre cloud will package all the files and send it to a terminal on the web, running on top of cloud infra.
You can install miniogre with pip install miniogre
https://lnkd.in/g5P9cJNc
