About Me

Senior AI Engineer & Architect based in Metro Detroit Area

Senior AI engineer and architect with 8+ years bridging emerging technologies and enterprise systems. I specialize in agentic AI development, enterprise modernization, and cloud-native architecture — driving outcomes in ambiguous environments through a blend of hands-on execution, strategic thinking, and engineering leadership.

I work at the intersection of AI innovation and enterprise execution — architecting agentic AI systems, modernizing legacy platforms, and standing up cloud-native architectures. From LLM orchestration and RAG to full-stack delivery across React, Node.js, Spring Boot, and .NET, I focus on turning ambiguous business needs into clear, scalable technical solutions.

Beyond delivery, I care about enablement: I co-founded and led an AI Community of Practice, mentor engineers on AI workflows and modern engineering practices, and build reusable accelerators and frameworks that help teams adopt agentic, AI-assisted development at scale.

Skills & Technologies

AI & ML

RAGLLM OrchestrationAutonomous AgentsNLPPrompt EngineeringAI-Enabled SDLC

Frontend

ReactReact NativeAngularNext.jsSvelteKitDesign Systems

Backend

Node.jsJava Spring Boot.NETC#PythonREST

Data

SQLNoSQLDynamoDB

Cloud

AWSAzureGCP

Architecture & Practices

Cloud-Native ArchitectureEnterprise ModernizationAgentic DevelopmentSpec-Driven DevelopmentFail-Fast ExperimentationCode Modernization

My Approach

Clarity in Ambiguity

I thrive in ambiguous environments, translating unclear business needs into clear technical direction and driving outcomes through hands-on execution and strategic thinking.

AI ↔ Enterprise

I bridge emerging AI capabilities with enterprise realities — operationalizing agentic systems, RAG, and LLM orchestration inside real engineering workflows and pipelines.

Reusable Systems

I build scalable, reusable engineering systems — design systems, AI accelerators, and frameworks — that multiply the impact and velocity of entire teams.

Fail-Fast Experimentation

I favor rapid prototyping and fail-fast practices to de-risk decisions early, accelerate stakeholder alignment, and improve delivery speed and system resilience.

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