Software Engineering Intern
DZYNE Technologies
Embedded Systems & Full-Stack
Reduced embedded system development time by 23% by refactoring anti-drone software modules in C and C++ for improved modularity and reuse across future product lines.\nIncreased automated testing efficiency by over 40% by restructuring the Python-based test framework, reducing manual intervention and accelerating release cycles.\nEliminated a 3+ minute operator workflow by building a full-stack GUI in React and Flask with real-time control of power, tracking, movement, and logging — reducing test-run response time to under 30 seconds.
Undergraduate Researcher
Plasma, Energy, and Space Propulsion Laboratory
Signal Processing & ML
Sped up impedance matching by 800% by developing an automated capacitor tuning algorithm with Google's OR-tools, dynamically maximizing power coupling and reducing reflected power in RF plasma systems.\nOutperformed the industry-standard denoising filter by 80% by engineering a high-performance Python pipeline, extracting high-fidelity thruster health data from high-noise environments.\nAccelerated plasma thruster analysis by 120% by implementing parallelized signal processing programs in MATLAB, enabling faster experimental iteration.\nBoosted cancer-focused plasma model accuracy by 33% by engineering high-dimensional features from 10M+ data points across diverse treatment parameters.
Undergraduate Researcher
Jason Clark Research Group
FPGA & DSP Engineering
Enabled nano-ampere signal acquisition for the first time in the lab by developing VHDL modules for FPGA-based DSP, unlocking precise characterization of previously unmeasurable micro-sensors.\nImproved sensor stability by integrating artificial damping algorithms via Hardware-in-the-Loop testing with Moku instrumentation, reducing mechanical noise across multiple test configurations.\nAccelerated hardware debugging by designing comprehensive VHDL testbenches that simulated and validated signal responses, enabling rapid iterative prototyping.