Product & Platform Leadership · Boston, MA

Where engineering
meets strategy
at scale.

Building the platforms that power enterprise-scale AI, observability, and experimentation — from the ground up.

AI & Platform Observability Experimentation ★ Forbes Most Innovative 2026

I built my career at the intersection of rigorous engineering and product thinking — from finite element analysis to shipping platform infrastructure used by tens of thousands of engineers.

My path began in mechanical engineering research, where I learned to couple computational methods with programming. That foundation carried me into software at MathWorks, then into product management at Scuba Analytics, and on to Capital One — where I built the company's observability practice from scratch, then took product lead of Databolt's platform backend. I care about making complex systems legible, scalable, and genuinely useful.

15K

Engineers migrated to modern observability stack

3

Distinct product leadership roles at Capital One

PhD

Mechanical Engineering, Northeastern University

16+

Years at the intersection of engineering & software

01

AI & Platform Tooling

Building internal AI capabilities and developer platforms that scale across multi-tenant, multi-division enterprise architectures.

02

Observability & Distributed Systems

Deep roots in OpenTelemetry and distributed tracing — led end-to-end observability practice adoption across a 15,000-engineer organization.

03

Experimentation at Scale

Feature flag strategy and platform infrastructure that lets large organizations move with speed and confidence — and measure what actually matters.

Let's connect.

Open to conversations about platform strategy, product leadership, and what's next.