Building distributed, cloud-native systems and AI-powered features across fintech and healthcare. Specialized in Java/Spring Boot microservices, Python/FastAPI services, and event-driven architectures on AWS, with hands-on experience integrating LLMs for fraud detection and agentic workflows.
A Software Developer with 5+ years of experience building distributed, cloud-native systems and AI-powered features across fintech and healthcare. From real-time underwriting systems to enterprise claims processing — I turn complex requirements into elegant, scalable solutions.
Currently at Affirm, I build AI-assisted fraud detection and RAG pipelines using AWS Bedrock, OpenAI, and Anthropic Claude, alongside secure credit-decisioning APIs and real-time analytics dashboards, working within event-driven microservice architectures.
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 database schema design to CI/CD pipelines and distributed systems observability.
Open to Software Developer, Backend Engineer, and AI/ML Engineer roles in fintech, healthcare, or AI-driven systems. I'm especially interested in high-impact, distributed systems and LLM-integration challenges.
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