15+ years designing secure, scalable systems and leading AI-driven automation at scale. From architecting infrastructure for 800+ engineers to building production AI agents that eliminate manual work — I help companies turn complex problems into reliable, secure, running systems.
I've managed 700+ compute nodes and 400+ AI accelerators at Tenstorrent, built data pipelines that saved manufacturers millions at Jabil, and led distributed engineering teams across continents. I know what it takes to transform an organization's infrastructure — because I've done it, repeatedly, at scale.
At Tenstorrent, I pioneered Agentic AI solutions that cut support ticket volume by 70% and saved teams hours of manual work daily. I automated provisioning for 600+ servers, reduced hardware deployment from weeks to hours, and transitioned a reactive IT organization into a proactive Platform Engineering team serving 800+ engineers.
Before that, I was a Data Architect at Jabil — building near real-time analytics pipelines for global factory operations, converting monolithic systems to microservices, and leading zero-data-loss migrations. That foundation in data architecture and operational automation shapes everything I build today.
Since going independent, I've shipped over twenty production systems in three months — proving I can move fast without cutting corners. I pick the right tool for the job and own every layer from the server rack to the user interface.
Pioneered Agentic AI at Tenstorrent before it was a buzzword — reducing support tickets 70% with MCP-based agents across Slack.
Automated provisioning for 600+ servers. Reduced hardware deployment from weeks to hours. Production-grade is the only grade.
Vault-managed secrets, encrypted document storage, certificate-based auth, Fernet encryption, zero-trust networking. Security is architecture, not an afterthought.
Grew and mentored engineering teams at every stop. Turned underperformers into owners. Transformed IT into Platform Engineering.
I've led infrastructure and engineering teams across AI hardware, HPC, manufacturing, IoT, and cloud — always at the intersection of architecture and execution.
Led platform engineering for 800+ engineers across HPC and AI accelerator infrastructure. Managed 700+ compute nodes and 400+ Tenstorrent accelerators across two datacenters. Pioneered Agentic AI solutions that cut support volume 70%. Led a Tiger Team of 20+ engineers to resolve critical hardware failures blocking product release. Transitioned the team from reactive IT to proactive Platform Engineering.
Managed DevOps, SRE, and SaaS operations across AWS, Azure, on-prem, edge compute, and IoT. Architected CI/CD pipelines spanning iOS, Android, Linux, and NUC deployments. Maintained and scaled DataStax, Spark, and Cassandra clusters.
Transformed a distributed team of 8 engineers across the US and overseas. Architected end-to-end CI/CD including multi-cloud and air-gapped deployments. Defined the pipeline roadmap for Kubernetes and legacy VM environments.
Built near real-time analytics pipelines for global factory operations using Kubernetes, Kafka, Elasticsearch, and Ansible. Converted a monolithic test framework to microservices. Led a zero-data-loss platform migration across 8 teams. Saved the business millions through automated reporting and manufacturing metrics.
Software architecture and infrastructure engineering at scale.
Since leaving Tenstorrent, I've been shipping — applying everything I've learned about systems design, security, and AI to build tools I believe in. Each one started with a real problem and was built with the same rigor I'd bring to enterprise infrastructure.
A federated search engine across 25+ marketplaces — designed as a plugin architecture where each provider is an isolated adapter with its own Fernet-encrypted config. AI classifies queries into intent, a 4-layer relevance scoring engine ranks results in real-time via SSE streaming, and Prometheus + OpenTelemetry trace every request from ingestion to render. One query, dozens of sources, full observability.
A Kubernetes-native gateway between humans and AI agents — multi-auth (session tokens, API keys, Telegram integration), RabbitMQ quorum queues for reliable task delivery, PTY-based live terminal streaming, and end-to-end OpenTelemetry tracing. Every agent interaction is auditable, rate-limited, and tenant-isolated.
A multi-tenant ML inference platform with namespace-isolated deployments, HPA-driven GPU scaling, and scoped RBAC. JWT + API key auth, security headers middleware, rate limiting per tenant, S3 model storage, Stripe billing. Users deploy models through a simple API — the security and scaling happen automatically.
Musicians shouldn't need to be in the same room. A low-latency networked MIDI system in C, speaking raw UDP with RTT measurement, cross-platform between Windows and Linux. Plug in your keyboard, connect to a session, and play together.
Insurance sales management built on AES-256-GCM document encryption, brute-force protection, and role-based access (admin / manager / seller). Concurrent bulk import via worker pools, Claude-powered PDF and spreadsheet extraction, multi-vendor quote comparison. Every customer document is encrypted at rest — not optional, not configurable.
Privacy-first job matching — no credentials stored, no data retained. Claude tailors resumes per role, sentence-transformers score semantic fit, Playwright automates applications. Multi-service architecture with Celery task queues, each service scoped to a single responsibility. Your data stays yours.
Plus: SRE infrastructure agents, Rust file-sync CLI, GPU-accelerated background removal, document scanning pipeline, LLM caching proxy, self-hosted Excalidraw, Docker Compose to Helm converter, Ansible playbooks for Dell PowerEdge servers, bare-metal orchestration via MAAS, and more.
Every system I build starts with architecture — the right patterns, the right boundaries, the right failure modes. I've designed platforms spanning 700+ compute nodes across datacenters, and I run my own infrastructure now: bare-metal servers, Kubernetes, Helm, Harbor, Vault, Prometheus. I think in systems, not features.
Rust when correctness and performance matter. Go for concurrent services. Python for rapid iteration and ML. C when you need to talk directly to hardware. TypeScript for rich UIs. I don't have a favorite language — I have favorite outcomes.
At Tenstorrent, I built MCP agents that cut support tickets 70% and saved a team 4-5 hours daily on manual query resolution. I integrate AI where it creates real value — not to add a chatbot to everything, but to solve problems that were previously impractical.
Security isn't a checklist you run at the end — it's how you design the system from day one. Vault for secrets management, certificate-based authentication, encrypted storage at rest, zero-trust networking, automated credential rotation. I've managed infrastructure serving 800+ engineers where a breach would halt product development. That shapes how I build everything.
If your organization needs automation leadership, AI strategy, or someone who can take infrastructure from chaos to platform — I'd like to hear about it. I bring 15+ years of hands-on experience leading teams and shipping systems at companies like Tenstorrent, Jabil, Spirent, and HP. Let's talk.