Lucas Guimarães
Deepstream
RemoteRemote OKFull-time$140k – $220k / year
About this role
Lucas Guimarães
Computer Vision Engineer | Full Stack Engineer | Node.js | C++ | Python | React | Deepstream
Brasília, Federal District, Brazil (BR)
500 connections • 977 followers
About
Welcome to my profile! My professional journey has been marked by collaborations with innovative projects. I was tasked with designing computer vision solutions that, through a webcam or phone, enable communication for individuals with eye-only mobility, leveraging deep learning techniques and OpenCV. I've stepped into technical leadership and project management roles, conducting interviews, assembling teams, and negotiating project requirements with clients, harnessing tools like Python, FastAPI, Ionic, and MongoDB. I've crafted solutions for major railroad companies and municipalities across Brazil, using Python, DeepStream, Kafka, and Ignite. I've also played a role in developing diverse solutions for Penumbra, a multibillion-dollar enterprise centered around, but not limited to, healthcare. These solutions span areas like healthcare, business training, and recreation, utilizing technologies such as Azure, OpenShift, Postegres, JavaScript, React, and Node.js. In a project for Samsung, I served as the technical reference in C++, guiding the team on technical aspects and was subsequently rewarded with an award for my valuable contribution. I'm always eager to take on new challenges and opportunities. Please feel free to reach out if you're interested in connecting or discussing potential collaborations.
Total Experience: 6 years and 6 months
Experience
Founding Computer Vision Engineer - OMNICOG(https://www.linkedin.com/company/omnicog) (Current)
May 2023 - Present (3 years and 1 month) in Remote
In my current role, I lead the implementation and maintenance of Omnicog's code centered on computer vision. I've also architected the project's new structure with a focus on modularity, thereby enhancing its adaptability to incorporate new requirements with minimal