Bridges business problems and AI solutions by defining what to build, how to evaluate it, and whether it’s working. Product strategist’s instincts applied to AI engagements — stakeholder discovery, requirements translation, and evaluation frameworks.

Builds, breaks, hacks, and automates things with GenAI. Hands-on engineer with deep agentic systems experience across enterprise verticals.

Makes AI systems behave. Deep infrastructure and platform engineering background with ML/data science chops and full-stack delivery capability.

AI practice leader building the methodology, platform, and team that help enterprises move from AI strategy to production systems.

Builds AI systems that are actually useful — combining classical ML, data science, and GenAI across personalization, customer intelligence, retrieval, and agentic workflows.

Mathematician and physicist specializing in building scaled ML/AI systems and data science. Frontier tech perspective across unconventional verticals.

Turns chaotic LLM ideas into working applications — building agentic AI and retrieval pipelines, while exploring AI governance platforms and collaborating with lawyers + policy experts on tech policy.

Takes complex problems and designs production-grade, reliable agentic systems. Particularly interested in evaluation, observability, and safety.

AI practice leader engaging in R&D and AI accelerator efforts to disrupt and transform internal operations, especially in data migration.