Research and development of semiconductor devices, including memristor and EMR-based structures, leveraging spiking neural network-based machine learning alongside 2D semiconductor device characterization and simulation, with applications in neuromorphic computing acceleration and ultra-sensitive magnetic field sensing.

• Designed and characterized MoS₂ memristor and EMR device architectures using COMSOL Multiphysics, analyzing dielectric thickness effects on switching and Hall parameters.
• Developed spiking neural network (SNN) models for digit recognition using 2D memristor material simulations, achieving 94.23% accuracy.
• Operated CVD systems for controlled growth of 2D materials; performed optical characterization via photoluminescence and Raman spectroscopy.
• Containerized applications including NEST Simulator, Jupyter Notebook, and TensorFlow using Docker.
• Conducted literature reviews on quantum materials, neural networks, and neuromorphic computing; presented findings to research team and faculty.

Development of payload electrical and electronic systems with automation solutions for Atmospheric Inert Gas Retrieval, enabling high-speed atmospheric gas sampling at predetermined time intervals during a Venus upper-atmosphere sample return mission using a Terrier-Improved Orion / Malemute sounding rocket at Wallops Flight Facility.

• Designed electrical schematics and developed prototype PCBs using KiCad for an Atmospheric Inert Gas Retrieval payload.
• Integrated electrical systems ensuring compliance with system and user requirements for a Terrier-Improved Orion / Malemute sounding rocket at Wallops Flight Facility.
• Presented electrical sections at CoDR, PDR, CDR, STR, and FMSR progress reviews to NASA.
• Led system-level integration with Mechanical Structures and Experiments teams to ensure mission success.

• Leading lab sections of 30+ undergraduate students in hands-on analog circuit construction, measurement, and debugging.
• Training students on bench instrumentation including oscilloscopes, function generators, and digital multimeters for circuit characterization and signal analysis.
• Supporting students in applying Kirchhoff's laws, Ohm's law, and nodal/mesh analysis to build and verify circuit behavior from schematic to physical implementation.
• Guiding circuit simulation workflows using computer-based tools to evaluate and predict circuit behavior prior to hardware experimentation.

• Electrical Designer on a NASA-funded payload team to design, build, and launch a sounding rocket experiment on a Terrier-Improved Orion (apogee ~100km) at Wallops Flight Facility. (RockSat-C, Sep 2024 – Aug 2025)
• Electrical Designer on a NASA payload team to design, build, and launch a sounding rocket experiment on a Terrier-Improved Malemute (apogee 150–170km) at Wallops Flight Facility. (RockSat-X, Sep 2025 – Dec 2025)
• Member of the Software & Electrical Team, collaborating with the Mechanical Structures Team and the Experiments Team.

• Undergraduate Research Assistant of the Pinnacle Scholar Program, awarded $5,000 stipend to conduct Summer Session Research.
• Developed machine learning models using spiking neural networks and 2D memristor materials simulation to achieve digit recognition with 94.23% accuracy.
• Conducted literature reviews on quantum materials, neural networks and neuromorphic computing, presenting key findings to research team and faculty.