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The models, architectures, and engineering work behind modern AI systems, including large language models, agentic systems, and AI product development. Experts here help clients separate real technical capability from hype.
The competitive, financial, and go-to-market forces shaping the AI industry, from frontier labs to enterprise vendors and investors. Experts here help clients read the market and make sharper strategic and investment decisions.
How AI is being applied within specific industries, including financial services, healthcare, and other specialized sectors. Experts here bring domain depth alongside technical fluency.
The financial mechanics of running AI at scale, including compute and infrastructure spend, model performance versus cost trade-offs, and budgeting for AI initiatives. Experts here help clients make sharper build, buy, and spend decisions as AI costs scale with use.
How organizations measure and capture the return on their AI investments, from cost savings and productivity gains to new revenue creation. Experts here help clients move past pilot-stage excitement to prove and defend measurable business impact.
Leads research and production deployment of agentic systems combining multi-agent architectures, fine-tuned LLMs, and reinforcement learning to support high-stakes decision-making across portfolio workflows.
Led cross-functional development of privacy-preserving on-device AI for App Store Ads personalization, including federated learning infrastructure and an experimentation/measurement platform.
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