Engineering & Product Leader
Cloud Infrastructure · Distributed Systems · Real-Time Systems
I design and scale distributed systems powering real-time data, developer platforms, and cloud-native infrastructure.
About
With 22+ years across enterprise, startup, and scale-up environments, I've led engineering teams building the distributed systems and cloud platforms that modern software depends on.
My work spans cloud AI/ML infrastructure at Kumo AI (graph-native ML platform), streaming data infrastructure at Confluent (co-creators of Apache Kafka), founding-level infra at DeltaStream (serverless streaming data platform, seed→Series A), and enterprise SaaS at SAP Ariba — always building systems that are resilient, observable, and built to last.
Full story →22+
Years of experience
5+
Infra-heavy companies
Core focus
Distributed systems · Kafka · Flink · BYOC SaaS · Kubernetes · AI-native infra
Expertise
Designing multi-region, fault-tolerant cloud platforms. BYOC architectures and multi-tenant SaaS systems at enterprise scale.
Building systems that remain consistent, available, and partition-tolerant under real-world load — at scale.
Deep expertise in Kafka, Flink, and streaming infrastructure — from pipeline design to production operations.
Designing bring-your-own-cloud systems where enterprise data never leaves customer boundaries — without sacrificing developer experience.
Kubernetes-native platform engineering, GitOps workflows, and automation systems that compress developer toil to near-zero.
Building the infra layer for AI workloads — vector stores, feature pipelines, model serving infrastructure, and AI-native observability.
Impact
Took DeltaStream from zero to millions in revenue and seed to Series A — architecting the multi-cloud serverless streaming platform from scratch.
End-to-end ownership of Flink-powered stream processing infrastructure, BYOC data planes, and multi-tenant query engine across AWS and GCP.
1000x engineering efficiency improvement across a 600+ engineer org at Confluent — releases compressed from weeks to hours.
Built the developer productivity platform from 0 to 25 engineers, spanning CI/CD, release automation, Docker, and productivity tooling.
Scaled SAP Ariba's commerce network from $50B to $500B — leading 40+ engineers across 5 global datacenters.
Automation framework cut test qualification from 5 days to 3 hours. Ariba Star Award recipient. Patent holder: Chaos Engineering via ML.
Led cloud infrastructure for Kumo AI — a graph-native ML platform — across SaaS, multi-tenant, and BYOC deployment models.
End-to-end Kubernetes platform roadmap on AWS, driving SOC2 compliance, cost engineering, and observability for enterprise AI workloads.
Philosophy
01
"Infrastructure should disappear behind developer experience."
02
"Real-time systems define modern software architecture."
03
"Scalability is a systems design problem, not a scaling problem."
04
"Platform engineering is leverage, not support work."
Let's work together
I work with founders building infrastructure-heavy and AI-native systems. Advisory, collaboration, or early-stage roles.