Computer Scientist & Applied Mathematician
Quantum Computing · Machine Learning · High-Performance Computing
I build research-driven computational systems at the intersection of quantum computing, machine learning, and scientific computing. My work focuses on reliability under real constraints: quantum noise, limited circuit depth, computational scaling, model stability, and hardware-aware performance.
Master’s thesis research — East Carolina University
noise-robust-hqnn-framework
A reusable experimental framework for evaluating and improving hybrid quantum–classical neural networks under NISQ-era noise.
- Built with Qiskit, Qiskit Aer, Cirq, PennyLane, scikit-learn, NumPy, and Matplotlib
- Implements depolarizing, bit-flip, phase-flip, and amplitude-damping noise models
- Evaluates learned classical readout, multi-observable quantum features, architecture search, noise-aware objectives, repeated trials, and statistical validation
- Improved evaluated noisy classification performance from approximately 0.37 with fixed parity readout to approximately 0.82–0.85 with learned and multi-observable readouts
- Explores how measurement design, entanglement structure, and classical post-processing affect robustness in hybrid quantum learning systems
GPU-accelerated particle simulation developed and benchmarked on the Bridges2 supercomputer.
- CUDA C/C++ implementation with serial CPU baseline
- GPU parallelization and memory-access analysis
- SLURM execution and performance benchmarking
- Correctness validation before performance measurement
High-Performance-Parallel-Pi-Approximation-Using-MPI-and-SLURM
Distributed numerical computation using C++, MPI, and SLURM on Bridges2.
- Benchmarked scaling across 1, 12, 24, and 48 cores
- Achieved approximately 10× speedup at 12 cores
- Analyzed efficiency loss and communication overhead as parallelism increased
End-to-end machine-learning system combining PyTorch, ONNX, Flask, React, and financial time-series features.
- LSTM training and evaluation pipeline
- ONNX export and inference validation
- Flask API and React frontend
- Technical indicators including RSI, SMA, EMA, momentum, volatility, and MACD
A deployed Next.js + TypeScript research portfolio with dynamic routing, reusable components, and Vercel deployment.
Blockchain-identity-verification
Experimental decentralized identity-registration system using Solidity, Hardhat, Ethereum/Sepolia, ethers.js, Next.js, TypeScript, and MetaMask.
Quantum & Research
Qiskit · Cirq · PennyLane · NISQ noise modeling · Hybrid quantum–classical algorithms · Quantum machine learning
Machine Learning & Scientific Computing
Python · PyTorch · scikit-learn · NumPy · Pandas · ONNX · Jupyter
High-Performance Computing
C++ · CUDA · MPI · SLURM · GPU computing · performance benchmarking
Software & Platforms
Git · Linux · SQL · Flask · React · Next.js · TypeScript · Docker · AWS · Azure
- M.S. Computer Science — East Carolina University
- B.S. Mathematics — North Carolina Wesleyan University