I’m Dr. Emily Watson, ML Research Scientist at Kurai. I bridge the gap between cutting-edge research and practical applications. My work focuses on making advanced ML techniques accessible and deployable for businesses of all sizes.
Research with Impact
At OpenAI, I contributed to research on reinforcement learning from human feedback (RLHF)—the technique behind ChatGPT’s remarkable capabilities. At Google Brain, I worked on efficient transformer architectures that reduced model inference costs by 60%.
But I realized that the most impactful work happens when these breakthroughs reach real users. That’s why I joined Kurai: to bring state-of-the-art ML to production systems.
My Expertise
Foundation Models:
- GPT-5, Claude 3, Llama 2 fine-tuning
- Custom model training from scratch
- Model distillation for deployment efficiency
Specialized Applications:
- Computer vision (object detection, segmentation)
- Natural language processing (NER, sentiment, translation)
- Time series forecasting and anomaly detection
- Graph neural networks for recommendation systems
Optimization Techniques:
- Quantization (FP32 → INT8) for faster inference
- Knowledge distillation for smaller models
- Pruning and sparsity for reduced compute
- Multi-GPU and distributed training
Research to Production
I don’t just read papers—I implement them. Recent projects I’ve led:
- Financial forecasting: Custom transformer model predicting stock movements with 76% accuracy
- Medical imaging: Computer vision system detecting tumors with 99.2% precision
- Legal NLP: Custom fine-tuned Llama 2 model for contract analysis, 94% accuracy
- Recommendation engine: Graph neural network increasing user engagement by 40%
Collaboration & Consulting
I collaborate with research institutions and serve as a reviewer for NeurIPS, ICML, and JMLR. I believe in open-source research and have contributed to Hugging Face Transformers, LangChain, and PyTorch.
Let’s Innovate
Whether you need a custom model trained from scratch, fine-tuning of existing models, or guidance on ML strategy, I’d love to help. Reach out at emily@kurai.dev.
Recent publications:
- “Efficient Fine-Tuning of LLMs with LoRA” (arXiv 2024)
- “Real-Time Object Detection at the Edge” (CVPR 2023)
- “Graph Neural Networks for Recommendations” (KDD 2023)
