Los Alamos National Laboratory - Parallel Computing Intern

June 2024 - Present

  • Profiled Fortran-implemented hydrocodes (>500k lines) using VTune, Caliper, and Valgrind on Cray supercomputers.
  • Optimized MPI grid composition to prevent cache thrashing in hyper-threaded environments, achieving a 14% performance boost.
  • Analyzed implicit/explicit Euler time integration methods for discretizing physics simulations within the Courant condition.

University of Minnesota — Research Assistant

September 2022 - May 2024

  • Published a novel computer architecture embedded in DNA complexes.
  • Verified RAM and computation operations using the molecular simulator Multistrand on Oracle cloud.
  • Redesigned Multistrand’s Python C++ extension modules to eliminate illegal memory accesses, ensuring data integrity.
  • Developed a Pytest suite covering 221 unique Monte Carlo trajectories.
  • Presented enhancements at the DNA29 conference in Sendai, Japan.

Ecolab — Software Engineering Intern

May 2022 - August 2022

  • Achieved a 0.82 F1 score for real-time anomaly detection using a quantized convolutional neural network deployed on edge RTOS systems.
  • Advanced environmental sustainability by designing a TensorFlow-based computer vision model for efficient dishwashing load categorization.
  • Secured 2nd place in a hackathon, leading the team’s model tuning.

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

  • Reverse engineered iOS private frameworks using NSA’s Ghidra tool.
  • Led the Kanban software development cycle of multiple iOS tweaks following CI/CD, reaching a peak user base of over 200,000 users.