Engineering the Future of AI & Infrastructure
Scaling GPU clouds, designing agentic systems, and bridging high-performance computing with visual engineering.
Bridging Raw Compute with Intelligent Workloads
Continuous learner who loves exploring new territories in technology
I operate at the intersection of extreme scale and complex workloads. As a Senior Specialist Field Engineer at CoreWeave (The Essential Cloud for AI), I design, scale, and optimize the distributed Kubernetes and GPU infrastructures that power the world’s most advanced AI models, LLM training pipelines, and high-performance inference workloads.
My engineering journey spans over a decade, crossing the boundaries of High-Performance Cloud Architecture, Site Reliability (SRE), and Computer Graphics. I've scaled compute footprints for global media giants, built synthetic data pipelines for autonomous driving, and led AI initiative evaluations for Netflix/ScanlineVFX.
With an MSE in Computer Graphics & Game Technology from the University of Pennsylvania, I bring a rare synthesis of deep-systems engineering and visual design aesthetics. I don't just orchestrate massive multi-tenant GPU clusters; I build the tools and workflows that developers and creators use to shape the future.
My Architectural Pillars
Practical expertise designed for high-availability, compute-heavy, and intelligent applications.
AI, LLMs & Agentic Systems
Architecting production platforms for distributed model training and high-speed LLM inference. Designing cognitive agentic pipelines to automate development lifecycle and media engineering operations.
HPC & GPU Orchestration
Deploying specialized Kubernetes systems on multi-node NVIDIA HGX architectures. Fine-tuning container runtime performance, networking interfaces (InfiniBand/RoCE), and high-throughput parallel filesystems.
Visual Computing & Graphics
Pioneering automation and rendering pipelines for studio giants (DreamWorks, Animal Logic, Netflix). Custom plugin design for Unreal Engine, Houdini, and Maya, linking creative vision with cloud-native SRE paradigms.
Active Technological Frontiers
I believe in constant iteration. These are the domains where I am currently pushing commits, deploying configurations, and researching:
- Multi-Agent Systems: Creating autonomous developer platforms that diagnose kubernetes cluster states and self-heal workloads.
- Generative Media Workflows: Streamlining GenAI workloads inside virtual production stages using containerized pipelines.
- Bare-Metal K8s Optimization: Streamlining direct GPU pass-through latency for high-frequency serving and ultra-low-latency LLM workloads.
The boundary between engineering and imagination is shrinking. As AI moves from static models to agentic, autonomous execution, the bottleneck is no longer code—it's the platform architecture that supports it.

