I architect production ML systems that deploy reliably, scale efficiently, and run cost-effectively on Linux. Your models work in notebooks. I make them work at enterprise scale—where latency, cost, and uptime actually matter. RAG Pipelines • Databricks • Multi-Cloud (AWS | GCP | Azure) • Kubernetes • Terraform

I love to work. Give me a production deployment challenge at 6pm on Friday, and I'm excited, not annoyed. I build systems that solve real problems—the kind that let your team sleep through the night instead of fighting fires at 2am.

MLOps & Production Systems

• Production RAG deployment with vector databases
• Databricks ML workflows at scale
• Model serving infrastructure (real-time & batch)
• CI/CD for ML systems on Linux
• Monitoring, observability, and reliability engineering

Multi-Cloud Infrastructure

• AWS Solutions Architect Professional | Advanced Networking
• GCP Professional Cloud Architect
• Azure AI Engineer Associate
• Infrastructure as Code (Terraform, Kubernetes, Docker)
• Cost optimization and resource management

Data Engineering

• Petabyte-scale pipelines with medallion architecture (bronze → silver → gold)
• Real-time streaming (Spark, Kafka)
• Vector databases for production RAG (QDrant, Weaviate, Milvus)
• ANSI SQL across all major platforms

ML Frameworks & Tools

• PyTorch, TensorFlow, Spark ML
• LangChain, LlamaIndex for RAG systems
• MLflow, Weights & Biases for experiment tracking
• Airflow, Prefect for orchestration

20-dashboard series analyzing Texas AI infrastructure and energy systems

Data-driven exploration of how power becomes intelligence—from the Texas grid to orbital compute. Each dataset is self-compiled. Each dashboard visualizes a different dimension: megawatts to teraflops, on-prem to orbit, human oversight to autonomous systems. This combination is creating the perfect storm for next-generation compute infrastructure.

##Texas is on pace to become:

• #1 AI datacenter state by total energy footprint
• #1 grid-powered compute ecosystem in North America
• The fastest-growing AI-hardware deployment region outside Silicon Valley

Texas isn’t just hosting data centers.

Texas is building the infrastructure layer for Earth-to-orbit computation.

Signal-based trading system with backtesting framework

Experimental quantum ML circuits exploring future-ready architectures

• Python (Pandas, Numpy): Data processing, calculations, and analysis pipelines
• TensorFlow & PyTorch: Predictive modeling
• SQL (ANSI Certified): Database queries and data transformation
• Apache Spark: Distributed processing
• Tableau: Interactive dashboard development and visualization

🌐 Portfolio | 💼 LinkedIn | 🐦 X/Twitter

Building production MLOps infrastructure. Based in Austin, Texas.