Quantum & Computational Physics Engineering
I turn quantum physics into working software: holographic spacetime simulators, quantum-sensor navigation for GPS-denied systems, symplectic neural networks and post-quantum security tools.
About
As Principal Software Engineer at Ryker Capital, I architect distributed systems, define API boundaries and orchestrate resilient microservices with Kubernetes to handle heavy, mission-critical data throughput.
My work bridges high-performance software engineering with applied computational physics, deterministic AI architectures and post-quantum infrastructure. My technical foundation rests on first-principles physical modeling and mathematical rigor.
With an M.S. in Cyber Forensics & Counterterrorism, I approach infrastructure with a defensive, adversarial mindset. I'm also a native speaker of Italian and French.
Selected projects
A high-performance 3D web simulation of AdS/CFT duality, ER=EPR entanglement and general relativity, built with Three.js and custom numerical pipelines. Real-time null-geodesic ray tracing, live metric-tensor telemetry, Ryu–Takayanagi minimal surfaces and topological quantum error correction.
Can an environmental gravity reference constrain the drift of an unaided inertial system? The simulator combines strapdown inertial propagation, synthetic gravity-gradient mapping from atom-interferometer-style sensors, noisy measurements and a nonlinear EKF, with a quantitative INS-only vs. gravity-aided comparison.
A containerized FastAPI + PyTorch service that learns the Hamiltonian rather than the next state, solving non-linear dynamical systems faster than traditional integrators while preserving phase-space volume. Benchmarked on a chaotic Duffing oscillator with |ΔH/H₀| ≈ 10⁻⁴ and no long-term energy drift; scales on Kubernetes.
A domain-level audit platform and API that negotiates TLS 1.3 hybrid ClientHellos using ML-KEM-768 + X25519, detects emerging post-quantum support in line with NIST FIPS 203, and flags Harvest-Now-Decrypt-Later exposure across internet-facing services.
Research areas
Coupling strapdown inertial dead reckoning with gravimetric anomaly field matching through nonlinear Extended Kalman Filtering, so platforms can navigate when satellite positioning is unavailable.
Containerized services running symplectic Physics-Informed and Hamiltonian Neural Networks that preserve phase-space volume and eliminate secular energy drift in long simulations.
State-vector evolution, IBM Heavy-Hex graph transpilation routing, and Variational Quantum Eigensolver molecular solvers.
An adversarial mindset applied to system design: zero-trust guardrails, cyber threat intelligence and cryptographic verification built directly into mission-critical systems.
Experience
Buena Vista Health & Recovery Centers
AES Aerospace Embedded Solutions GmbH
Education
Certifications
Top skills
Languages
Italian · French (native / bilingual)
Contact