Experience

Palantir Technologies

• United States
• Software Development
• 700 & Above Employee

• Software Engineer

  • Aug 2023 - Present

  Backend software engineer in Production Infrastructure Backend software engineer in Production Infrastructure



Vividly

• Software Development
• 1 - 100 Employee

• Software Engineer Intern

  • Jan 2023 - Jun 2023

  Software engineer intern on analytics team Software engineer intern on analytics team



Palantir Technologies

• United States
• Software Development
• 700 & Above Employee

• Software Engineer Intern

  • Jun 2022 - Aug 2022

  Backend software engineer intern on Production Infrastructure service management team Backend software engineer intern on Production Infrastructure service management team



DoorDash

• United States
• Software Development
• 700 & Above Employee

• Software Engineer Intern

  • May 2021 - Aug 2021

  Backend software engineer intern on DoorDash Drive core platform team Backend software engineer intern on DoorDash Drive core platform team



doc.ai

• United States
• Software Development
• 1 - 100 Employee

• Software Engineer Intern

  • Jan 2021 - Feb 2021

  • Created a clinical trial protocol QA/QC evaluation tool using GPT-3 and BERT language models • Scripted code to finetune BERT language models on healthcare domain-specific passages • Planned and generated labeled training data for question-answering tasks through Amazon MTurk tasks • Created a clinical trial protocol QA/QC evaluation tool using GPT-3 and BERT language models • Scripted code to finetune BERT language models on healthcare domain-specific passages • Planned and generated labeled training data for question-answering tasks through Amazon MTurk tasks



Air Force Research Laboratory

• United States
• Armed Forces
• 700 & Above Employee

• Software Intern

  • May 2020 - Jan 2021

  • Scripted a GraphQL schema generator to create intermediary query managers for database calls on Apache SolrCloud-based REST APIs • Implemented asynchronous retrieval of database results through refactoring existing synchronous source code, achieving over 50% speedup • Scripted and trained artificial neural network text classifiers in PyTorch for domain recognition and slot-filling in natural-language utterances • Containerized and deployed code using Docker for incorporation into existing AFRL codebases and prototypes Show less



Massachusetts Institute of Technology

• United States
• Higher Education
• 700 & Above Employee

• Undergraduate Research Assistant

  • Jan 2020 - May 2020

  • Wrote backend code in Python to process natural-language statements from Wikipedia into machine-readable annotations • Updated documentation for code clarity and wrote detailed unit tests to confirm functionality of existing code • Wrote backend code in Python to process natural-language statements from Wikipedia into machine-readable annotations • Updated documentation for code clarity and wrote detailed unit tests to confirm functionality of existing code