Experience

Anyscale

• United States
• Software Development
• 100 - 200 Employee

• ML Engineer Intern

  • Jun 2023 - Present

  LLM Fine-tuning exploration & optimization LLM Fine-tuning exploration & optimization



IRIS Lab @ Stanford AI Lab

• Undergrad Researcher

  • Jun 2021 - Present

  Working in Prof Chelsea Finn's lab on automating the process of training robots with real world reset-free reinforcement learning. Working in Prof Chelsea Finn's lab on automating the process of training robots with real world reset-free reinforcement learning.



Stanford Student Space Initiative

• United States
• Defense and Space Manufacturing
• 1 - 100 Employee

• Avionics Lead

  • Oct 2021 - Jun 2023

  Leading avionics for Project Olympus (liquid bi-propellant rocket engine) - Embedded systems software - PCB Design Leading avionics for Project Olympus (liquid bi-propellant rocket engine) - Embedded systems software - PCB Design



Meta

• United States
• Software Development
• 700 & Above Employee

• ML Infra Intern

  • Jun 2022 - Sep 2022

  AI System Co-Design - optimizing machine learning ops for custom hardware accelerators AI System Co-Design - optimizing machine learning ops for custom hardware accelerators



Stanford Artificial Intelligence Laboratory (SAIL)

• United States
• Software Development
• 1 - 100 Employee

• Deep Learning Researcher | Stanford ML Group

  • Jan 2021 - Jun 2021

  Working as a research assistant in Prof. Andrew Ng's group to address real-world medical issues with AI. Position begins Jan 2021. Working as a research assistant in Prof. Andrew Ng's group to address real-world medical issues with AI. Position begins Jan 2021.



FING and Inria collaboration

• Machine Learning Research Intern

  • Aug 2019 - Mar 2021

  Devising a new Graph Neural Network method to predict crop health worldwide. Using agronomic principles to optimize network accuracy. Devising a new Graph Neural Network method to predict crop health worldwide. Using agronomic principles to optimize network accuracy.



Department of Engineering at the University of the Republic, Uruguay (FING)

• Machine Learning Team Lead

  • Jan 2019 - Sep 2019

  Developed a ConvLSTM algorithm to forecast crop health over Uruguayan farms using NASA satellite imagery. Worked remotely with a team of CS researchers & agronomists. First author of our paper. Developed a ConvLSTM algorithm to forecast crop health over Uruguayan farms using NASA satellite imagery. Worked remotely with a team of CS researchers & agronomists. First author of our paper.