CV
Education
- B.S. in Structural Engineering (Aerospace Structures Focus)
- University of California, San Diego, 2019
- M.S. in Computer Science
- Georgia Institute of Technology, 2023
Work experience
- Lawrence Livermore National Laboratories
- Nov 2021 - Present
- Refactored and modularized a Python image-analysis codebase (NumPy/SciPy), reducing technical debt and improving extensibility for downstream feature development.
- Built reproducible analysis + visualization workflows (Matplotlib) and automated figure generation for reports and reviews; adopted by 5 research teams, reducing maintenance budgets by 20%.
- Developed documentation and example-driven notebooks/scripts to accelerate onboarding and enable reliable handoffs to future developers.
- Led design reviews and execution for reliability-focused upgrades; delivered 600k+ dollars in procurements and enabled estimated 200k dollars/year in savings via improved system reliability and reduced maintenance burden.
- Drove requirements, feasibility studies, and final designs for system upgrades and expansions, partnering with stakeholders through review cycles.
- Boeing
- Aug 2019 - Oct 2021
- Analyzed damages to provide efficient blanket repair schemes driving down team response time by 20%.
- Individually developed 3 design procedures accepted as company-wide standard for future repairs.
Projects
Skills
- Languages
- Python, Java, C, C++, SQL, MATLAB, protocol buffers
- Libraries
- TensorFlow, Scikit-learn, Pandas, NumPy, Apache Derby
- Technologies
- Docker, Git, Docker, Linux, RPC, Wireshark, SQL, LLVM