I’m Sarah Chen, Co-Founder and AI Lead at Kurai, with a passion for transforming AI research into production systems that deliver real business value. With a Ph.D. from Stanford and experience at Google AI and DeepMind, I specialize in LLM integration, RAG systems, and scalable ML infrastructure.
From Research to Production
My journey began in academia, focusing on natural language processing and transformer architectures. At Google AI, I led the team that deployed BERT-based models for Google Search, serving billions of queries daily. This experience taught me that the gap between research notebooks and production systems is where most AI projects fail.
At Kurai, I bridge that gap. We don’t just build models—we build AI systems that are reliable, scalable, and maintainable.
My Expertise
LLM Integration & Fine-Tuning:
- Production RAG systems with 99%+ accuracy
- LoRA/QLoRA fine-tuning for domain adaptation
- Multi-modal AI (text + vision + audio)
MLOps & Infrastructure:
- MLflow experiment tracking at scale
- Kubernetes-based model serving
- Automated ML pipelines with CI/CD
Applied AI:
- Chatbot development (GPT-5, Claude, Llama)
- Document understanding and analysis
- Predictive analytics and recommendation systems
Building the Future of AI
The next decade belongs to companies that can effectively deploy AI. At Kurai, we’re making enterprise AI accessible to startups and established companies alike. Whether you need a simple LLM chatbot or a complex multi-model ML pipeline, we have the expertise to deliver.
Let’s Build
I’m always excited to discuss challenging AI problems. If you’re looking to integrate AI into your product or need guidance on your ML infrastructure, reach out at sarah@kurai.dev.
Selected publications:
- “Scaling RAG Systems to 100M+ Documents” (ICML 2024)
- “Production ML: Lessons from Serving 1B Queries Daily” (NeurIPS 2023)
