Resume
Email: nicomannarelli@gmail.com
Location: College Park, MD
GitHub: GitHub
LinkedIn: LinkedIn
Technical Skills
Languages: Python, C, C++, Java, MATLAB, SQL, Rust
Frameworks/Libraries: Pandas, PyTorch, NumPy, Qiskit, PennyLane, Ultralytics
Developer Tools: Git, Github, VSCode, Jupyter, AWS, Azure
Experience
Research Assistant
Applied Research Lab for Intelligence and Security (ARLIS)
June 2025 - August 2025 • College Park, MD
- Conducted applied research in quantum machine learning and hybrid classical–quantum architectures for intelligence analysis and decision-support systems
- Achieved 97.3% accuracy on the MNIST dataset using a custom-parameterized quantum circuit optimized via PennyLane and PyTorch with a gradient-free evolutionary optimizer
- Deployed quantum simulation experiments on ARLIS's classified HPC environment, ensuring compliance with DoD and NIST security standards under Secret Clearance
Research Assistant
FIRE Quantum Machine Learning Lab - University of Maryland
June 2024 - August 2024 • College Park, MD
- Conducted research on Variational Quantum Circuits (VQC) applied to Reinforcement Learning (RL)
- Focused on performance and trainability of quantum algorithms with data re-uploading
- Developed quantum-classical hybrid approaches to improve decision-making in classical control problems
Research Assistant
FIRE Rapid Diagnostics - University of Maryland
August 2023 - December 2024 • College Park, MD
- Developed microfluidic and paperfluidic devices for point-of-care diagnostics
- Gained experience with Matlab, CAD, 3D printing, cutter-plotting, and PDMS molding for device fabrication
- Focused on rapid, on-site chemical and bio-analysis for healthcare, environmental monitoring, and disease control