About Me

My background is a hybrid of enterprise rigor and startup velocity. Rooted in Applied Mathematics, I operate where rigid compliance meets rapid innovation. I bridge the semantic gap between executive vision and engineering reality, dissecting abstract business problems down to their raw technical components to ensure velocity without technical debt.

Cloudforce (opens in new tab)

April 2025 – Present
Technical Product Manager
  • 0-to-1 Architecture: Leading product development for nebulaONE, an Azure-native AI agent platform. Converting research into viable engineering roadmaps.
  • Strategic Co-Innovation: Partnering with Microsoft Engineering to build a healthcare agent orchestrator, driving the pilot from concept to clinical validation.
  • Market Validation: Conducting technical discovery to de-risk development, ensuring MVPs solve verified pain points before scaling.
  • Enterprise Advisory: Directing digital transformation and ServiceNow strategy for client portfolios, ensuring that platform adoption yields measurable business outcomes.

WorkingLate LLC (opens in new tab)

March 2023 – Present
Founder & Product Architect
  • Applied AI Lab: Bootstrapped a product lab to test emerging capabilities (multi-agent systems, vector embeddings) in production workflows.
  • Healthcare Marketplace: Engineered a semantic matching engine that reduced manual pairing time by 96% (48h to <2h).
  • Career Agent SaaS: Validated unit economics through rapid A/B testing, achieving a 40% free-to-paid conversion rate on zero funding.

JBG SMITH (opens in new tab)

Jan 2020 – April 2025
Manager, Cloud Enablement
  • Enterprise AI Rollout: Deployed secure LLM infrastructure (Azure, Box AI) for 700+ employees, balancing innovation with data governance.
  • Process Automation: Designed role-based provisioning systems that reduced onboarding time by 80%.

Education

University of Maryland, College Park

Bachelor of Science, Applied Mathematics, 2015