Teams at Handshake

Lead end-to-end customer deployments with frontier AI labs: gather requirements, design and build production-grade, scalable systems across stack, partner with cross-functional teams, mentor engineers, and create reusable tools and deployment patterns to improve model and customer outcomes.

Build and scale the Reinforcement Learning Environments platform: design backend services and data pipelines, create modular simulation domains, improve reliability and observability, partner with US research and product teams, and ship high-quality maintainable code to support model training and evaluation.

Lead design and scaling of Reinforcement Learning Environments (RLE) and data pipelines, partnering with research, product, and ops to build reliable, observable, production systems that generate high-quality training and evaluation data.