Senior Data Scientist and PhD candidate working on reliable AI systems and GenAI application in industry.
I build tools for testing and understanding machine-learning systems, with a focus on generative test input generation, context-efficient coding agents, and scientific software.
- 🌱 Context Garden — self-contained skills that help coding and scientific agents use less context and produce better-verified results.
- 🧪 SMOO — a modular framework for testing machine-learning systems.
- ⚛️ NeuralDecoderToric3D — neural decoders for quantum error correction on the 3D toric code.
My research also spans deep-learning reliability, evolutionary robotics, and quantum computing.



