Projects

Here are some of my recent projects in machine learning, data science, and software development.

Pedestrian Crossing Distance Analysis

Sep. 2024 - Present

A machine learning project analyzing pedestrian crossing distances in urban environments using satellite imagery.

Technologies Used

PyTorchComputer VisionGISPython

Key Achievements

  • Fine-tuned Meta's SAM2 model for satellite imagery analysis, achieving 0.851 IoU
  • Optimized inference pipeline by 37% through parameter tuning
  • Implemented end-to-end ML pipeline with cloud infrastructure

MetroScore

May. 2024 - Present

A Python package for analyzing public transit efficiency compared to car-based transit.

Technologies Used

PythonData AnalysisGISTransit APIs

Key Achievements

  • Developed Python package for public transit efficiency analysis
  • Created benchmarks for routing algorithm evaluation
  • Optimized transit route search functionality

Aerosol Flow Analysis

Sept. 2022 - March 2023

Mobile application for evaluating aerosol transmission risks in public spaces using sensor data.

Technologies Used

SwiftiOSPyTorchComputer Vision

Key Achievements

  • Developed iOS application using Swift for mobile sensor data collection
  • Trained image classification models with thermal imagery
  • Implemented real-time risk assessment algorithms