Graduate Research Assistant – Los Alamos National Laboratory
September 2022 – June 2025
- Achieved 99% power reduction in neuromorphic AI hardware (0.02W vs. 12W GPU baseline) through Intel Labs and Drexel University collaboration.
- • Implemented and validated a reinforcement learning model on Intel Loihi FPGA, enabling action selection and quantized weight updates via OpenAI Gym.
- Published 2 peer-reviewed papers on spiking neural networks at ACM conferences, advancing the field of neuromorphic computing.
Graduate Research Assistant – Northwestern University
January 2024 – February 2025
- Designed and tested electrical components for quantum computing hardware operating at -200°C in partnership with GlobalFoundries and Fermi Lab.
- Accelerated test developments through automated voltage sweeps and measurement workflows using Python.
- Conducted preliminary frequency and noise profile analysis of oscillators using FFT methods to support reliability studies in information processing.
Software Engineer Intern – Los Alamos National Laboratory
April 2022 – August 2022
- Built scalable SQL database for projected 200+ researchers / 15PB dataset to reduce researcher query time by almost 50% (4hrs→2hrs), accelerating project delivery for multi-year defense research portfolio.
- Improved experiment management and automation by 30% through streamlined data access and visualization tools.
- Developed a full-stack analytics platform with optimized APIs for experiment visualization.
Software Engineer Intern – GRUBBRR
September 2021 – February 2022
- Standardized QA automation workflows, cutting bug turnaround time by 30% and accelerating product releases.
- Coordinated 5+ client deployments, ensuring on-time integrations across POS and payment platforms.