University of Minnesota — Research Assistant

September 2022 - Present

  • Migrated legacy code to Python3, improving functionality.
  • Redesigned underlying Python C++ extension modules with Valgrind for optimized memory usage.
  • Developed a robust pytest suite comprised of 220 unique cases to ensure simulation accuracy and reliability.
  • Accelerated molecular simulations 46x using Oracle cloud, enabling extensive runs to achieve publication-level variance.
  • Presented enhancements at the DNA29 conference in Sendai, Japan.

Ecolab — Software Engineering Intern

May 2022 - August 2022

  • Deployed a convolutional neural network on the edge for real time signal processing, achieving 98% accuracy.
  • Advanced environmental sustainability by designing a TensorFlow-based computer vision model to categorize dishwashing loads efficiently.
  • Earned 2nd place in a Hackathon with the innovative computer vision model.

Reddit Inc — Contractor

August 2020 - May 2022

  • Utilized Excel for analysis and categorization of 30,000+ subreddits.
  • Automated moderation of site-wide events, impacting over 2 million users and improving moderation efficiency.

iDeviceHacked — Software Developer

December 2017 - April 2020

  • Led the full software development life cycle of multiple iOS tweaks from design to deployment, achieving a peak user base of 200k users.
  • Applied modularity and abstraction to large scale heterogeneous systems.
  • Employed Kanban principles to rapidly deliver enhancements and bug fixes, boosting product quality and user experience.