Brooklyn, NY — AI & Data Science
Turning enterprise generative AI into production value.
I work at the intersection of AI engineering and business development — architecting generative AI deployments for Fortune 50 companies, converting proofs of concept into multi-million dollar production systems, and building the frameworks that make repeatable AI delivery possible.
By the numbers
$80M+
software delivery overseen for a global omni-channel digital assistant
20+
generative AI & governance solutions led across 10+ products
$100M+
combined annual client revenue managed post-sales
75%
proof-of-concept to production conversion rate
Top 1%
of sellers company-wide, converting a PoC into a $10M+ deployment
30+
enterprise Data & AI consulting engagements led
10,000+
students supported through programs I founded at UC Berkeley
Selected work
2024 – Present
Enterprise Generative AI Digital Assistant
Delivery oversight for an $80M+ global, omni-channel digital assistant spanning cloud, SaaS, on-prem, and hybrid environments.
2024 – Present
Generative AI & Governance Rollout
Led implementation of 20+ generative AI and governance solutions across 10+ products.
2023 – 2024
PoC-to-Production AI Pipeline Acceleration
Built repeatable frameworks that lifted proof-of-concept to production conversion to 75%, including a $10M+ single deployment.
Writing
2026-06-01
What Actually Gets a PoC Into Production
Most generative AI proofs of concept never ship. Here's what separates the 75% that do from the ones that stall out in a demo environment forever.
2026-04-15
Rolling Out AI Governance Without Slowing Teams Down
Governance and speed are usually framed as opposites. Across 10+ products, the rollouts that worked treated governance as an enabler, not a gate.
2026-02-10
Why I Keep Coming Back to Teaching Data Science
From founding Berkeley's Data Science Modules to co-founding Girls Who Solve, the throughline in my career outside of client work has been curriculum design.