Experience
Intern
NowDaimler Truck North America
- ▸Joining the company behind Freightliner as an intern. Details to follow once there's work I can talk about.
Software Engineering Intern
Mar 2025 - Sep 2025DZYNE TechnologiesPortland, OR
PythonCC++SQLReactFlask
- ▸23% faster embedded development after refactoring anti-drone C/C++ modules for modularity and reuse across product lines.
- ▸Restructured the Python test framework to eliminate manual intervention, lifting automated testing efficiency by over 40% and tightening release cycles.
- ▸A full-stack React/Flask GUI replaced a 3+ minute manual operator workflow, delivering real-time control of power, tracking, movement, and logging with sub-30-second test runs.
Undergraduate Researcher – Applied Machine Learning
May 2024 - Jun 2026Plasma, Energy, and Space Propulsion LaboratoryCorvallis, OR
MATLABPythonOR-tools
- ▸Capacitor tuning algorithm built with Google OR-tools to dynamically maximize power coupling in RF plasma systems, delivering an 800% speedup over manual impedance matching.
- ▸Industry-standard denoising filter outperformed by 80% with a custom Python pipeline that reliably extracts thruster health data from high-noise environments.
- ▸120% faster plasma thruster analysis through parallelized MATLAB signal processing, enabling tighter experimental iteration.
- ▸High-dimensional features engineered from 10M+ data points across diverse treatment parameters boosted a cancer-focused plasma model's accuracy by 33%.
Undergraduate Researcher
Feb 2024 - Mar 2025Jason Clark Research GroupCorvallis, OR
VHDLFPGAMoku
- ▸First-ever nano-ampere signal acquisition in the lab, enabled by VHDL modules developed for FPGA-based DSP and unlocking characterization of previously unmeasurable micro-sensors.
- ▸Integrated artificial damping algorithms through Hardware-in-the-Loop testing with Moku instrumentation, stabilizing sensors and reducing mechanical noise across multiple test configurations.
- ▸Comprehensive VHDL testbenches simulating and validating signal responses shortened hardware debug cycles and enabled rapid iterative prototyping.
Projects
Bee Habitat Recommendation System
PythonReactJavaScript
Full-stack AI recommendation engine using truncated SVD on Oregon Bee Atlas data to predict bee-flower interactions, enabling data-driven habitat restoration for land managers. Modeled complex ecological relationships via sparse matrix factorization to identify optimal plant species for local bee populations.Character Classification Neural Network: From Scratch
PythonNumPyPandas
Feed-forward neural network built from scratch in Python (no ML frameworks), implementing backpropagation, weight initialization, and hyperparameter tuning by hand. Achieved 85% test accuracy on EMNIST handwritten characters.Education
M.S. Computer Science
2026 - Present
Honors B.S. Computer Science
Sep 2022 - Jun 2026
GPA
3.95 / 4.0
Relevant Coursework
Data Structures & AlgorithmsDatabasesSoftware EngineeringArtificial IntelligenceMachine LearningDeep Learning