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Schedule Interview NowMy name is Maximiliano Alonso R. and I have over 2 years of experience in the tech industry. I specialize in the following technologies: Reinforcement Learning, Python, Deep Learning, PyTorch, MATLAB, etc.. I hold a degree in Bachelor's degree, Master of Science (MS). Some of the notable projects I've worked on include: Rovver X 130: Digital Twin, Mini Vizca 400: Digital Twin, Training robot with Deep Learning for navigation strategies Isaac Sim, Iter: Modularity at the heart of robotics design. I am based in Valparaiso, Chile. I've successfully completed 4 projects while developing at Softaims.
I approach every technical challenge with a mindset geared toward engineering excellence and robust solution architecture. I thrive on translating complex business requirements into elegant, efficient, and maintainable outputs. My expertise lies in diagnosing and optimizing system performance, ensuring that the deliverables are fast, reliable, and future-proof.
The core of my work involves adopting best practices and a disciplined methodology, focusing on meticulous planning and thorough verification. I believe that sustainable solution development requires discipline and a deep commitment to quality from inception to deployment. At Softaims, I leverage these skills daily to build resilient systems that stand the test of time.
I am dedicated to making a tangible difference in client success. I prioritize clear communication and transparency throughout the development lifecycle to ensure every deliverable exceeds expectations.
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Designing a digital twin of the robot Rovver X 130 of Envirosight in Nvidia Isaac Sim.
Designing a digital twin of the robot Mini Vizca 400 of Maquintel Robotic Services in Nvidia Isaac Sim.
The project "Designing with cutting-edge technology" aimed to create a user-friendly library for simplifying the configuration process for creating robots, environments, and training scenarios. My rol
Bachelor's degree in
2015-01-01-2021-01-01
Master of Science (MS) in Robotics and Deep Learning
2020-01-01-2022-01-01