CV

Education

• B.S. in Engineering Physics, Minor in Computer Science, University of Illinois at Urbana-Champaign

Work experience

• Fall 2022 - Present: Research Developer, SPIN Intern @ National Center of Supercomputing Applications
  • Engineered parallelized visualization pipeline using VisIT Visualization across distributed cloud computing infrastructure, processing 800+ TBs of cosmological simulation data and communicating observational signatures in 14+ peer-reviewed publications
  • Implemented GPU acceleration into elliptical PDE solvers in C++ and Python, reducing initial data compute times from 168 hours to 45 minutes (2000 % Speed up) through OpenACC and OpenMP parallelization
  • Developed a low-code GUI application enabling efficient utilization of open-source models on cloud-computing infras- tructure, streamlining biophysicists’ workflow for computational experimentation and saving an estimated 20+ developer hours per week
  • Implemented an automated software support system by integrating Slack with GitHub, reducing response time for bug fixes and feature requests by 40% and maintaining seamless software updates for 18+ months
• Summer 2024: Data Science Intern @ John Deere
  • Automated end-to-end CI/CD pipeline using Airflow and Spark, processing 1.2TB of IoT sensor data daily with 99.4% schema validation accuracy
  • Engineered multimodal CNN-RNN fusion model (PyTorch) combining LiDAR point clouds and RGB imagery, achieving 0.85 F1 score and sub-300 ms response time on trench condition classification, reducing false positives in crop health alerts by 38%
• Spring 2022 & Summer 2022 & Summer 2023: Machine Learning Engineering Intern @ Flexday AI
  • Engineered application that integrates YAML configuration files to automate data science workflows on AWS and Azure, collaborating with executives to create intuitive ML model prototyping interface
  • Developed embedded object-tracking model, reducing size by 53% through Q-HyVIT and INT8 quantization, delivering 0.81 F1 score, 98.7% up-time, and sub-150 ms response time on resource-constrained hardware
  • Designed and deployed customer service chatbot using TF-IDF classification, effectively directing 200+ conference attendees to relevant FAQs and company resources

Projects

• x, y, z

Skills

• Languages
  • Python
  • C++
  • FORTRAN
  • Julia
  • Bash
  • SQL
  • Rust
  • OpenCL/Cuda
  • Go