Experience

Research Assistant @ Columbia Creative Machines Lab, NYC

September 2024 - Present

• Designed and implemented the Disagreement Augmentation algorithm, enhancing student model robustness and generalization in knowledge distillation through structured disagreement.
  
• Conducted large-scale experiments, achieving significant performance improvements across diverse image classification datasets and student/teacher model architectures.
  
• Advised by Professor Hod Lipson.
  
• See Paper and GitHub (ongoing work)

Software Engineer Intern @ Google, Seattle

June - August 2024

• Engineered and deployed a distributed C++ log aggregation pipeline processing 1.48 PiB/day, compressing it to ~8 MiB/day of actionable insights.
  
• Leveraged machine learning clustering algorithms to automate traffic pattern recognition.
  
• Solved a critical latency calculation bug, reducing specific error response rates by 80%.

Software Developer @ Cambridge Youth Soccer, Cambridge, MA

May - September 2023

• Contributed to open-source team creation software used by soccer coaches to streamline team setups.
  
• Reduced team creation time by 10x through algorithmic speedups and streamlined user experience.
  
• See GitHub and PyPi Package

Launch Technology Intern @ Ernst & Young, NYC

June - August 2023

• Collaborated on an Agile Data Analytics team to develop a comprehensive data dictionary, simplifying reporting and improving workflow efficiency.

Embedded Software Intern @ Novatio Engineering, Waltham, MA

July - August 2022

• Updated and modernized legacy C code, tripling the number of compatible microprocessors for military-grade electric generators.
  
• Automated key quality control (QC) processes using Arduino and Python, cutting QC time by 20 minutes per cycle.