AI Engineering · Solutions Architect · Cloud Architecture

Understanding people.
Building intelligence.

AI engineer and solutions architect with a background in cognitive neuroscience and business analytics. I build agentic AI systems, cloud infrastructure, and data pipelines that are technically robust and genuinely human-centered.

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About

I started in psychology; studying how people think, decide, and behave through a B.S. in Psychology with a Cognitive Neuroscience concentration at Cal Poly SLO. That led me to an M.S. in Business Analytics, where I learned to find stories in data using machine learning, NLP, and cloud computing. Now I build agentic AI systems at Amazon AGI, bringing that same curiosity about human cognition into the way I design and engineer software.

My work sits at the intersection of behavioral science, data, and engineering. From deploying production LLMs and designing AI safety evaluations, to building cloud-hosted agentic workflows on AWS and Azure. I'm an AWS Certified Solutions Architect and hold an AWS Cloud Practitioner certification, and I've delivered AI solutions for organizations ranging from Fortune 500 enterprises to nonprofits.

Languages & Frameworks

Python
TensorFlow / PyTorch
SQL
JavaScript

Cloud & Infrastructure

AWS (Solutions Architect)
Azure
Docker
CI/CD Pipelines

AI & Data

LLM Deployment & Safety
RAG Pipelines
NLP / ML Engineering
ETL & Data Governance

Human Sciences

Cognitive Neuroscience
Behavioral Analytics
UX Research Methods
Human-Centered Design

Selected Work

Agentic AI Operations

Amazon AGI

Built and shipped agentic AI evaluation frameworks across 50+ LLM safety benchmarks. Deployed production pipelines processing 1M+ daily inferences with 99.9% uptime on AWS.

PythonAWSLLM Safety

Cloud-Hosted Agentic Systems

ISACA

Architected multi-agent workflows on Azure serving 3,000+ users. Reduced inference latency by 40% through containerized orchestration and auto-scaling infrastructure.

PythonAzureDocker

AIOps Analytics & RAG Pipelines

Claritas

Designed RAG pipelines ingesting 500K+ documents with 92% retrieval accuracy. Cut manual data processing time by 60% through automated ETL orchestration.

RAGETLLLM Evaluation

ML Engineering & Data Pipelines

F5 Inc

Deployed 12 production ML models for network traffic classification achieving 94% accuracy. Automated retraining pipelines reduced model drift incidents by 35%.

TensorFlowPyTorchAWS

Data Governance & Predictive Modeling

Cal Poly SLO

Built predictive models across 200K+ records improving forecast accuracy by 28%. Designed data governance frameworks adopted by 4 university departments.

PythonSQLPower BI

Sales Management

PepsiCo

Managed 15 Tier-One enterprise accounts including Walmart. Drove 4.2% revenue lift in 7 weeks through cross-functional pipeline execution and account planning.

Account PlanningPipeline ManagementEnterprise Sales

Cool Side Projects