Scientific software engineer with experience in quantum computing, cryptography, and numerical simulation. Interested in scalable scientific computing, high-performance systems, and distributed infrastructure.

Python toolkit for noise-resilient classification. Focuses on interactive tensor-network simulation, automated testing, and spin-network encodings.

• Focus: Tensor-network simulation, numerical optimization, automated testing

Numerical simulation engine for solving non-linear Hamilton-Jacobi partial differential equations. Utilizes optimized Crank-Nicolson algorithms to generate predictive trajectories with adaptive time-stepping.

• Focus: Numerical methods, PDE solvers, computational physics

Automated data analysis pipeline leveraging wavelet decomposition and matched-filter detection. Designed to extract target waveforms from simulated 21cm primordial noise.

• Focus: Signal extraction, automated data pipelines, statistical analysis

Toolkit for large-scale LDPC decoding experiments featuring belief-propagation algorithms, Tanner graph and surface code visualization, and Qiskit integration.

• Focus: Fault-tolerant pipelines, algorithmic complexity, data structure visualization

Modular framework for post-quantum blockchain consensus relying on topologically protected cryptographic proofs. Built for network resilience and verification logic under adversarial conditions.

• Focus: Consensus protocols, cryptography, network resilience

Protocol design exploring the integration of Quantum Key Distribution and smart contract validation. Settles cryptographically secure outputs on-chain.

• Focus: Cryptographic protocols, verifiable randomness, distributed architecture