Kai Cheng is a Chief of Staff and founding engineer at Silicon Data with nine years of cross-disciplinary experience building AI, ML, and full-stack systems for both research and finance. He has scaled product, infrastructure, and GTM teams from 5 to 20+ while building GPU-indexing and compute-market tooling backed by prominent trading firms. His background blends academic LLM and retrieval research at Cornell and Columbia with hands-on ML engineering at DRW and startups, applying multi-hop retrieval, time-series forecasting, and production LLM prompts to real-world problems. Comfortable shifting between code and strategy, he’s led initiatives ranging from authorship-attribution search systems to aligned interactive code execution for LLMs. Based in New York, Kai brings a rare mix of research rigor, trading-industry pragmatism, and product execution—plus a wry GitHub bio that hints he doesn’t take himself too seriously.
Contributions:3 pushes, 1 branch in 1 year 1 month
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