AWS and Azure Certified Software Engineer designing and building scalable backend systems, APIs, microservices, and cloud-native applications. Specialized in Python, distributed systems, and event-driven architectures, with hands-on experience integrating LLMs and Agentic AI for intelligent automation.
An AWS and Azure Certified Software Engineer with 4+ years of experience designing and developing scalable backend systems, APIs, microservices, and cloud-native applications. From agentic AI customer-support platforms to enterprise claims processing — I turn complex requirements into elegant, scalable solutions.
Currently at Zendesk, I build Python backend services and event-driven microservices for an Agentic AI customer-support platform, collaborating with AI engineers on Claude-powered LLM workflows using LangGraph, RAG, and MCP to drive intelligent automation across global support operations.
I hold an M.S. in Computer Science from Auburn University at Montgomery and am AWS and Azure certified, with deep expertise across the full engineering stack — from distributed systems and data processing to security, CI/CD, containers, and observability.
Open to Software Engineer, Backend Engineer, and AI/ML Engineer roles across AI-driven platforms, healthcare, and fintech. I'm especially interested in high-impact, distributed systems and agentic AI/LLM-integration challenges.
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