Rayan K.

Software Engineer Intern at Palantir Technologies
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us****@****om
(386) 825-5501

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Experience

    • United States
    • Software Development
    • 700 & Above Employee
    • Software Engineer Intern
      • Jun 2022 - Sep 2022

      New York, United States Gotham Project, HW Finalist

    • United States
    • Biotechnology Research
    • 1 - 100 Employee
    • Machine Learning Engineer
      • Mar 2022 - Aug 2022

    • United States
    • Software Development
    • 1 - 100 Employee
    • Student Researcher
      • Apr 2020 - Aug 2022

      Stanford, California, United States - AI for Healthcare Bootcamp lab advised by Prof. Pranav Rajpurkar and Prof. Andrew Ng. - Most recently worked on a review paper with Dr. Eric Topol on self-supervised methods in medical machine learning. Published in Nature Biomedical Engineering. - Developed a radiology report generation model that uses Open AI's CLIP model to select sentences for an x-ray image based on a large text corpus. Further studied the metrics for evaluating report generation models. - Worked to study and… Show more - AI for Healthcare Bootcamp lab advised by Prof. Pranav Rajpurkar and Prof. Andrew Ng. - Most recently worked on a review paper with Dr. Eric Topol on self-supervised methods in medical machine learning. Published in Nature Biomedical Engineering. - Developed a radiology report generation model that uses Open AI's CLIP model to select sentences for an x-ray image based on a large text corpus. Further studied the metrics for evaluating report generation models. - Worked to study and understand when chest x-ray models disagree with one another and fail to determine short comings of diagnostic models or identify when models should be dismissed in favor of expert opinion. - Released data set (CheXphoto) of naturally and synthetically perturbed photos of chest x-rays. Intended to support development of radiologist-level diagnostic models in a wide range of clinical settings. Additionally organized the CheXphoto competition to benchmark model robustness.

    • Student Researcher
      • Jun 2021 - Sep 2021

      Worked with Prof. Chelsea Finn and Dr. Huaxiu Yao on studying multi-modal meta-learning methods.

    • United States
    • Services for Renewable Energy
    • 1 - 100 Employee
    • Researcher
      • Sep 2020 - Mar 2021

    • United States
    • Software Development
    • 700 & Above Employee
    • Software Engineering Intern
      • Jun 2020 - Sep 2020

      Bellevue, Washington, United States - Contributing to the ONNX Runtime PyTorch implementation for significantly faster machine learning model training.

    • United States
    • Software Development
    • 700 & Above Employee
    • Software Engineering Intern
      • Jun 2019 - Aug 2019

      Bellevue, WA Worked on the opensource ML.NET project as part of the AI Platform team. Worked on implementation of high level API for Natural Language Processing tasks using the Google BERT model. Commits and contributions can be found on the ML.NET GitHub page.

    • Founder
      • May 2017 - Jun 2019

      Seattle, Washington Programmed the video game, Operation Sustain, as an engaging way to teach elementary students about the science of climate change. Developed curriculum and implemented the games in schools across America.

    • Co-Founder and President
      • Nov 2016 - Jun 2019

      Redmond, WA Formed the organization, Schools Under 2 Degrees C with peers and teachers at Tesla STEM High School. Pledged our school to meet the 28% carbon emissions reductions of the Paris Climate Accord and challenged students from around the nation to make similar reductions.

    • United States
    • Software Development
    • 700 & Above Employee
    • Intern
      • Jun 2018 - Aug 2018

      Redmond, WA Full time High School Intern on the TEALS team at Microsoft.

    • United States
    • Higher Education
    • 700 & Above Employee
    • Research Intern
      • Jun 2017 - Aug 2017

      Seattle, Washington Worked for researcher, Dr. Dargan Frierson at the Atmospheric Science Department to develop and analyze idealized climate models. Used generalized moisture models to understand the impact of increased carbon emissions on the frequency and magnitude of extreme weather patterns.

    • United States
    • Software Development
    • 700 & Above Employee
    • Mobile Application Development Intern
      • Jan 2017 - Apr 2017

      Bellevue, WA

Education

  • Stanford University
    Masters, Computer Science
    2023 - 2024
  • Stanford University
    Bachelor of Science - BS, Computer Science
    2019 - 2023
  • University of Oxford
    Tutorial in RL, A+
    2022 - 2022
  • Tesla STEM High School
    High School Diploma, 4.0
    2015 - 2019

Community

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