Available to hire
Staff AI Engineer with 9+ years building production-grade multi-agent systems, RAG platforms, and distributed backend infrastructure for enterprise retail and fintech. Focused on secure, scalable AI systems that measurably improve latency, automation, reliability, and cost efficiency.
Leads architecture and delivery of AI products and platforms, including hybrid retrieval and evaluation/grounding, distributed pipelines, Kubernetes-based agent infrastructure, and zero-trust security for agent tool usage with auditability and strong SLOs.
Experience Level
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
Language
Work Experience
Staff Software Engineer (P4) at Walmart
January 1, 2022 - PresentLed the architecture and delivery of Wally, Walmart’s enterprise GenAI merchant assistant for conversational analytics, merchandising insights, and workflow automation over proprietary retail data, reducing report preparation time by 60% while maintaining a 99.9% service SLO. Architected an OCR-powered supervisor-worker multi-agent system for document understanding, validation, reasoning, and review, achieving 94% field-level F1 and reducing manual review by 55%. Designed MCP-enabled production-grade RAG pipelines with hybrid retrieval, authorization filtering, reranking, grounding, and provenance, improving grounded answer accuracy and reducing unsupported claims. Built portable agent infrastructure across GCP, Azure, and Walmart private cloud using Kubernetes, policy-driven model routing, workload isolation, autoscaling, and failover, achieving a 99.9% platform SLO and lowering cost per workflow by 22%. Implemented zero-trust AI-agent security (OIDC/OAuth, scoped RBAC/ABAC, tool au
Senior Software Engineer at Stripe
November 1, 2018 - December 1, 2021Contributed to the 2019 launch of Stripe Capital, scaling it into a multi-market embedded-finance platform disbursing billions to businesses. Built low-latency lending services in Ruby and Go processing large volumes of lending events with 99.99% availability. Designed Kafka and Apache Pinot pipelines for 10M+ daily events, cutting risk data latency below 5 minutes. Improved automated CI/CD and observability, reducing release time and recovery time. Integrated banking APIs with idempotent workflows to achieve 99.9%+ disbursement success within 24–48 hours.
Software Engineer at Sprout Social
May 1, 2017 - October 1, 2018Built backend services and database architecture for Reputation Management, enabling real-time review and social monitoring. Developed responsive frontend interfaces for sentiment analysis and reputation management workflows.
Education
Bachelor’s degree at University of Illinois - Chicago
January 1, 2013 - January 1, 2017Qualifications
Industry Experience
Retail, Financial Services, Software & Internet
Experience Level
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
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