Experience

Where the systems
were built.

A career built around systems thinking — across enterprise, startup, and scale-up environments — always centered on architecture, reliability, and real-world impact.

DeltaStream Confluent SAP Ariba + additional roles
D

DeltaStream

Real-Time Context Engine for AI Agents · Flink · ClickHouse

Principal Engineer — Founding Team

Flink · ClickHouse · AI Agents · Streaming

DeltaStream is the real-time context engine for AI agents — solving the "context failure" problem that causes agents to reason on stale data. Built serverlessly on Apache Flink, ClickHouse, and Apache Spark, the platform delivers sub-second latency context to AI agents operating in production. I joined at the founding stage to architect the core streaming infrastructure, establish the multi-tenant data plane, and build the engineering foundation for enterprise-grade reliability.

Platform Built

  • Streaming query execution engine infrastructure
  • Multi-tenant stream processing with isolation guarantees
  • Kubernetes-based job scheduling for Flink workloads
  • Control plane / data plane separation for BYOC model

Leadership Scope

  • Founding-level architectural decision making
  • Hiring and growing the core infrastructure team
  • Defining engineering culture and operational standards
  • Customer-facing architecture reviews and technical strategy

Key Challenge

Building enterprise-grade streaming infrastructure with startup velocity — making architectural calls that need to survive 10x growth, while shipping fast enough to validate the product.

C

Confluent

The world's data streaming platform · Co-creators of Apache Kafka®

Principal Engineer, Infrastructure

Confluent Cloud · Kafka · Flink · BYOC

Confluent is the world's data streaming platform, built by the original co-creators of Apache Kafka. I worked on the core infrastructure powering Confluent Cloud — the fully managed, cloud-native Kafka service — solving hard problems at the intersection of distributed messaging, multi-tenant architecture, and real-time AI/ML data pipelines. Confluent's proprietary Kora engine delivers enterprise-grade throughput across AWS, GCP, and Azure with a 99.99% uptime SLA.

Systems Built

  • Multi-tenant Kafka cluster management at cloud scale
  • BYOC architecture — customers' Kafka runs in their VPC
  • Replication, tiered storage, and partition placement systems
  • Internal infrastructure automation platforms

Architecture Focus

  • Kafka internals — log compaction, consumer groups, ISR management
  • Cross-cloud isolation strategies for enterprise data planes
  • Kubernetes-native operator design for stateful workloads
  • SLA-driven reliability engineering at global scale

Scale & Scope

Infrastructure supporting millions of event streams across thousands of enterprise customers, deployed across multiple cloud providers (AWS, GCP, Azure) with strict SLA guarantees and data residency requirements.

S

SAP Ariba

World's largest B2B commerce network · SAP Spend Management

Engineering Lead, Platform

Procurement SaaS · Ariba Network · Spend Management

SAP Ariba operates the world's largest B2B commerce network — the Ariba Network — connecting millions of buyers and suppliers across global supply chains, processing trillions of dollars in commerce annually. I worked on the core platform infrastructure powering Ariba's cloud-based procurement and spend management SaaS, where transaction integrity, compliance, and global availability are non-negotiable requirements.

Systems Work

  • Multi-tenant SaaS platform architecture and scalability
  • High-throughput transaction processing systems
  • API platform design for enterprise integrations
  • Data migration and schema evolution at scale

Engineering Impact

  • Performance optimization for enterprise-grade SLAs
  • Compliance-aware system design for global deployments
  • Technical leadership across cross-functional teams
  • Driving platform modernization and cloud migration

Scale Context

Systems serving Fortune 500 procurement operations — financial transactions, supplier networks, and compliance workflows running 24/7 across global data centers. Zero tolerance for downtime.

Additional Experience

Prior & advisory roles

Across my career I've worked with additional companies building data-intensive systems, developer tooling, and cloud infrastructure. I've also advised early-stage founders on infra architecture, platform design, and engineering team structure.

Cloud platform design Startup advisory Engineering leadership Data infrastructure AI-native systems

Technical depth

The tools and systems I know deeply.

Streaming

  • Apache Kafka
  • Apache Flink
  • Confluent Platform
  • Kafka Streams
  • ksqlDB

Cloud & Infra

  • AWS / GCP / Azure
  • Kubernetes (K8s)
  • Terraform / IaC
  • Service mesh (Istio)
  • Helm / operators

Systems

  • Distributed consensus
  • BYOC architecture
  • Multi-tenant isolation
  • Observability (OTel)
  • Chaos engineering

Languages

  • Java / Scala
  • Go
  • Python
  • SQL (streaming)
  • Bash / scripting

Interested in working together?

I'm open to advisory conversations and leadership roles in distributed systems, cloud infrastructure, and AI-native platforms.

Get in touch