Contributed to the consulting practice by identifying high-impact AI opportunities, shaping proposals, and delivering business-driven outcomes. Designed and delivered cloud-native AI platforms on AWS with reference architectures for security, networking, observability, and cost governance. Orchestrated end-to-end MLOps pipelines on AWS EKS using MLflow and Kubeflow to automate training, validation, model registry/versioning, deployment, and monitoring, improving release cadence and reducing overhead. Developed LLM-powered RAG solutions with production-grade retrieval quality, implementing chunking strategies, hybrid search (keyword + vector), reranking, caching, and evaluation harnesses to measure accuracy, latency, and hallucination risk. Implemented multi-agent workflows with LangGraph and LangChain for real-time analytics and automation. Migrated a legacy monolithic web-scraping pipeline to a microservices architecture using AWS SNS/SQS, Lambda, ECS, and Fargate, improving reliabili

AI Software Development Consultant at DevGrid

September 1, 2019 - April 1, 2023

Delivered AI-enabled and cloud-native systems end-to-end as a consultant, owning architecture, implementation, performance tuning, and production readiness across multiple engagements. Developed a vector-search recommendation system on AWS using Elasticsearch, improving relevance through feature engineering, ranking experiments, and feedback loops that increased engagement and sales impact. Built and operationalized fraud-related infrastructure, incorporating NLP classifiers for message intent detection (e.g., cancellation / chargeback signals) and integrating outputs into downstream risk workflows. Led development of a high-scale product synchronization platform supporting both real-time and batch sync between local and global catalogs, improving reliability for cross-border commerce use cases. Implemented an event-driven architecture with Pub/Sub + gRPC, delivering subsecond sync latency, idempotent processing, and consistent reconciliation across thousands of stores. Introduced resi

Backend Developer at ICF of Oklahoma

June 1, 2016 - July 1, 2019

Delivered scalable backend services for web/mobile products, contributing across design, implementation, testing, and production support in a client-facing environment. Contributed migration from a monolithic application to a microservices architecture on AWS, decomposing core domains into independently deployable services and defining service boundaries, data ownership, and backward-compatible API contracts (REST/gRPC). Implemented the target platform and operating model, using Docker + Kubernetes (EKS), API Gateway/ALB, Kafka/SQS for async messaging, PostgreSQL (DB-per-service where appropriate), Terraform for IaC, and CloudWatch + OpenTelemetry for end-to-end observability—improving release independence, fault isolation, and horizontal scalability. Designed backend architectures emphasizing secure data handling, robust authorization patterns, and reliable service-to-service integration for client systems. Built and maintained RESTful and GraphQL APIs, improving developer experienc