Daniel Jerónimo Gómez Antonio Email & Phone Number
Who is Daniel Jerónimo Gómez Antonio? Overview
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Daniel Jerónimo Gómez Antonio is listed as Software Engineer at Google DeepMind, a with 6578 employees, based in Seattle, Washington, United States. AeroLeads shows a matched LinkedIn profile for Daniel Jerónimo Gómez Antonio.
Daniel Jerónimo Gómez Antonio previously worked as Software Engineer at Google and Software Development Engineer II at Amazon Web Services (Aws). Daniel Jerónimo Gómez Antonio holds Digital Systems And Robotics Engineering, Computer Science, 97/100 from Tecnológico De Monterrey.
Email format at Google DeepMind
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About Daniel Jerónimo Gómez Antonio
During high school, I participated in programming contests like Mexican Olympiad in Informatics and ICPC. Since then, I found my passion at competitive programming.In my academic path, I had the opportunity to work with different technologies in multiple domains. From digital hardware design, firmware development and robotics to middleware and web development.During my professional life I started doing web and mobile development. Then, I worked with embedded systems doing driver software, firmware and middleware. Most recently, I jumped into the AI domain, specifically into deep learning, where I am working with state of the art algorithms to make distributed training more efficient. During my free time, I mentor young students in competitive programming to prepare them to participate in coding contests. My goal is to motivate them to found their passion in Informatics, similar to what happened to me.I like to challenge myself to achieve my goals and grow as a professional and as a person. I want to make a positive impact in our world and society, for which I truly believe that technology is my medium to achieve it.
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Daniel Jerónimo Gómez Antonio work experience
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Software Engineer
Software Development Engineer Ii
- Lead an initiative to speed up initialization of distributed training using MP with +1024GPUs. Collect and analyze profiles to identify the bottleneck. Research, scope, define anddevelop a solution, which included a distributed store (key-value pair) based on RDMA.Results showed improvement of 6x from 12 to 2 minutes, they were presented tostakeholders, including a discussion with a Sr. PE to drive upcoming projects.- Design, implement and optimize an algorithm for a collective communication primitive (allreduce) within GPUs for distributed training. Delivered a modular architecture that wasadopted by the team to power other collectives. Performance boost of 10% against baselineand 90% test coverage. Technologies: C++, Python (PyTorch), CUDA, RDMA.- Develop a feature to improve resiliency during distributed training. Design and implementa service to identify GPU failures during training and orchestrate an automatic recoveryprocess. The service operated at different layers, from data plane to control plane usingC++, Go and Java. As a result, training could recover from last saved checkpointautomatically.
Sde
- Work in design and implementation of engines for AI to improve distributed data parallel training and make it faster and cheaper.
Staff Software Engineer
- Own the design and development of a .NET application to monitor and analyze network stack processes.- Mentor a software intern during summer. Coordinate and define requirements for the project, which was successfully completed. Guide and provide continuous feedback.
Software Engineer
- Work as software developer to provide driver support for hardware products intended for automotive Ethernet testing.- Design, implement and maintain driver software, firmware and and low level utilities using different technologies like C++, C, Python and LabVIEW.- Develop middleware to interact with the driver and add support for multiple network related protocols.- Automate complex testing involving multiple devices and high speed transfers to reduce test time of product benchmarks from days to hours. Also, integrate results into a web dashboard to monitor data over time.- Serve as part time SCRUM master to facilitate work items to the team, keep the backlog organized to reflect the team commitments and expectations. Organize and lead SCRUM ceremonies including stand-ups, plannings and retrospectives.
Software Engineer Internship
I was a software engineer intern, I worked in the drivers team. My project was related to implement a communication protocol to an existing driver that interfaces NI hardware with LabVIEW. I learnt driver developing in user and kernel mode using C++.
Developer
I was a software engineer intern at Digitum, mostly doing full-stack tasks focused to web development.On the daily basis, I used HTML, PHP, Javascript, AJAX, MySQL and Ruby.The main project I worked on was related to automate an application for the marketing department.
Information Technology Intern
I worked doing basic web development and databases task for the IT department.
Daniel Jerónimo Gómez Antonio education
Frequently asked questions about Daniel Jerónimo Gómez Antonio
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What company does Daniel Jerónimo Gómez Antonio work for?
Daniel Jerónimo Gómez Antonio works for Google DeepMind.
What is Daniel Jerónimo Gómez Antonio's role at Google DeepMind?
Daniel Jerónimo Gómez Antonio is listed as Software Engineer at Google DeepMind.
Where is Daniel Jerónimo Gómez Antonio based?
Daniel Jerónimo Gómez Antonio is based in Seattle, Washington, United States while working with Google DeepMind.
What companies has Daniel Jerónimo Gómez Antonio worked for?
Daniel Jerónimo Gómez Antonio has worked for Google Deepmind, Google, Amazon Web Services (Aws), Ni (National Instruments), and National Instruments.
How can I contact Daniel Jerónimo Gómez Antonio?
You can use AeroLeads to view verified contact signals for Daniel Jerónimo Gómez Antonio at Google DeepMind, including work email, phone, and LinkedIn data when available.
What schools did Daniel Jerónimo Gómez Antonio attend?
Daniel Jerónimo Gómez Antonio holds Digital Systems And Robotics Engineering, Computer Science, 97/100 from Tecnológico De Monterrey.
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