Experience

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  Renovate Robotics

  • United States
  • Machinery Manufacturing
  • 1 - 100 Employee

  • Computer Vision Lead Engineer

    • Sep 2023 - May 2024

    Designed and implemented Renovate's computer vision pipeline to accelerate rapid development and deployment of vision-centric robotic solutions in dynamic outdoor construction environments.

  • Business Development Intern

    • May 2023 - Aug 2023

    Developing growth strategy and identifying market opportunities for Renovate Robotics, a startup that automates asphalt and solar shingle installation for residential rooftops.

• 

  Caltech

  • Pasadena, California, United States

  • Schmidt Academy Software Engineer

    • Jul 2020 - Jun 2022
    • Pasadena, California, United States

    Created a modular software suite for atmospheric radiative transfer calculations in the Julia Language. By taking advantage of modern software tools, such as GPU acceleration and HPC computing, the software suite significantly accelerated computationally-intensive calculations and models, while keeping the interface easy-to-use for researchers and students.

• 

  Caltech

  • Greater Los Angeles Area

  • Undergraduate Researcher, Frankenberg Lab

    • Jun 2019 - Sep 2019
    • Greater Los Angeles Area

    Developed a PostgreSQL + PostGIS spatial database to allow researchers to query terabytes of TROPOMI satellite data very quickly. This database enabled researchers to merge datasets and ask more scientifically rigorous questions, that were previously limited by computing power and efficiency.

• 

  Caltech

  • Greater Los Angeles Area

  • Undergraduate Researcher, Schneider Lab

    • Jun 2018 - Aug 2018
    • Greater Los Angeles Area

    Researched an ML technique named Ensemble Kalman Inversion to learn Lorenz-63 model parameters, as an example case before applying it in climate models.

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  NASA Jet Propulsion Laboratory

  • Greater Los Angeles Area

  • Undergraduate Researcher

    • Jun 2017 - Aug 2017
    • Greater Los Angeles Area

    Developed a soil moisture sensor using Arduino + iOS that can easily be implemented by the GLOBE (Global Learning and Observations to Benefit the Environment) community and Citizen Scientists all around the world. This sensor supported validation of NASA’s Soil Moisture Active Passive (SMAP) satellite measurements.