Research, engineering, product, infrastructure, and go-to-market - one team that owns the problem from first architecture call to production deploy. Startups get a full AI function without building one; enterprises get a senior team that plugs into theirs.

Agentic and voice AI across startups and enterprises. Peer-reviewed publications in IR (SIGIR) and speech (INTERSPEECH). Leads every engagement personally.

Keeps engagements pointed at business outcomes. Owns scoping, stakeholder communication, and the discipline that turns a technical roadmap into shipped, measured product.

Full-stack engineering for AI products. Builds the services, APIs, and interfaces that turn models into products users actually touch - and that survive real traffic.

Data pipelines, infrastructure, and CI/CD. The plumbing that moves the data and keeps production AI observable, reproducible, and deployable on a Friday afternoon.

Advises on strategy, partnerships, and scaling a services practice without diluting the standard of work.

Advises on engineering direction and research-to-production practice - bridging what’s publishable and what ships.
Thirty minutes, no pitch. Tell us what you’re building.
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