Technology executive and hands-on platform architect with 20+ years of experience building enterprise AI platforms, data engineering systems, cloud-native SaaS products, and global engineering organizations across financial services, SaaS, media, and founder-led environments.
I focus on CTO, Head of Data & AI, Enterprise AI Platform, VP/SVP Engineering, and AI Transformation roles where technical credibility, regulated-systems judgment, and measurable business impact need to work together.
Recent highlights
- Srasta.ai: Building a self-hosted enterprise AI platform for private inference, retrieval, governed tools, identity-aware access, operator workflows, and the Srasta Membrane memory/state boundary.
- Diggt Product Studio: Building three live mobile-first SaaS products across property operations, workforce management, and habit systems on a shared AWS/serverless platform running at roughly $20/month.
- BNY Mellon: Led Alternatives Data strategy across a $500B AUM data estate, ~1,500 funds, six accounting systems, and ~2,000 product/client-facing operational users.
- Alteon.io: Scaled engineering from 2 to 45, re-architected the MVP into ~15 services managing ~800TB of data, reduced infrastructure costs by 80%, and maintained 99.99% uptime.
- Goldman Sachs: Built enterprise data and regulatory systems handling roughly 2TB of new data daily while reducing MemSQL operational and support overhead by 75%.
Specialties
Enterprise AI Platforms • Head of Data & AI Strategy • Agentic Systems • LLM Infrastructure and RAG • Regulated Data Platforms • Cloud-Native Architecture • Engineering Transformation • Enterprise Architecture
What I value
Building transparent, high-accountability engineering cultures and using AI to empower humans — not replace them.
