$ whoami
Data Scientist | ML Engineer | Open Source Contributor
graph LR
A[Deep Learning] --> B[Transformers Architecture]
A --> C[Computer Vision]
D[Data Engineering] --> E[Streaming Pipelines]
F[Quantum ML] --> G[Hybrid Classical-Quantum]
H[Ethics in AI] --> I[Bias Mitigation]
🧠 Neural Engine 3.4
Custom implementation of attention mechanisms with transformer architecture optimizations.Python PyTorch CUDA
📊 TimeSeries Forecaster
End-to-end framework for multivariate time series prediction using ensemble methods.Python statsmodels Prophet
🔄 QuantumGAN
Generative adversarial network with quantum circuit integration for superior random distribution sampling.Python Qiskit TensorFlow
📈 FinViz Analytics
Financial market visualization tools with anomaly detection capabilities.Python Plotly Dash
- Hexagonal Architecture for Distributed ML Systems International Conference on Machine Learning Systems, 2024
- Quantum Feature Maps for High-Dimensional Data Reduction Journal of Quantum Information Processing, 2023
- Ethics by Design: A Framework for AI Development AI Ethics Symposium, 2023
"The goal is to turn data into information, and information into insight."
— Carly Fiorina
— Carly Fiorina