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

April 2025 — Present
Technical Business Analyst (AI Product Strategy)
  • 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

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

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