Nat Lu
Nat, AI Systems & Data Lead at KLAR, builds the pipelines behind klarva - connecting data, agents, and analytics into one working system.
Biography
Connecting models, data, and product into one system
Nat works across data pipelines, applied AI and systems integration, with a focus on turning separate technical components into reliable end-to-end products. At KLAR.ai, she leads the integration of the AI and data pipelines behind klarva.
Her work spans data ingestion, agent workflows, recommendation pipelines, product analytics and deployment automation, connecting models and data into systems that can operate consistently in production.
Nat’s approach is grounded in making AI usable as a whole, not just functional in parts. She focuses on turning fragmented processes into coherent workflows that support real product behaviour.
Her work at KLAR focuses on:
- Building and connecting end-to-end AI pipelines across agents
- Integrating data from scraper APIs through to recommender outputs
- Ensuring consistency across analysis and recommendation systems
- Setting up product analytics and user behaviour tracking
- Automating CI/CD pipelines to enable fast, reliable deployment
A small team across strategy, creative systems, infrastructure and AI.
klarva is built by a cross-functional team because TikTok strategy is not a single-discipline problem. It needs creative judgement, product thinking, reliable infrastructure and AI systems that understand the shape of the work.
