Senior technical resource leading the development of an LLM-powered platform on Azure, enabling automated mitigation for developer on-call duties. The system used a RAG-based approach that utilized historical tickets and troubleshooting guides. Made key technical improvements to work around region-based OpenAI token limitations to reduce failure rate and increase system capacity by over 10x. Led cross-team relationships with Data Science and Platform teams to ensure seamless integration. Technologies included Python, Azure OpenAI GPT-4o, Azure Functions, Azure Front Door, Azure Service Bus, Azure AI Search, CosmosDB, Azure Machine Learning Pipelines, PromptFlow, Semantic Kernel. Received 2 awards for Engineering Fundamentals in support of Architecture and Security initiatives.

Developed an end-to-end strategy from research to delivery for a Generative AI solution for extracting key data from large documents. Created bi-weekly research projects to vet ideas, setup all infrastructure using infrastructure-as-code tools, created re-usable APIs and delivered prototype end user products using RAG-based approach. Delivered a working Generative AI solution that enables insights into hundreds of documents using Microsoft Azure, CosmosDB, and Azure OpenAI.

Led a team of 15 DevOps, Application Security, and Data Engineers. Delivered a datacenter migration project to a co-location facility. Implemented OpenTelemetry compliant Grafana cloud as centralized observability platform. Delivered 100% success rate of bi-weekly deployments. 50% hands-on / 50% management. Python, Nomad, Consul, Vault, Typescript, Terraform.

Stabilized a growing blockchain gaming platform and enabled the most successful card expansion in the game's history. Implemented Datadog for observability, Route53 to better manage DNS, AWS ELBs to enable scaling our middle-tier, Amazon RDS read-replicas to handle read scale, and a ton of index and fine-grained performance tuning. As a small startup, I spent 80% hands-on coding and 20% in leadership duties.

Spearheaded a technology shift from static, Windows-based infrastructure to dynamic, Linux-based hybrid cloud infrastructure. Used cloud-agnostic Hashicorp tools to develop a common configuration language between DevOps, SysAdmins, Software Developers, and DBAs. Built new tools to provide development teams infrastructure and deployment transparency. As a small DevOps team, I spent 80% hands-on coding and 20% in management duties. DevOps technologies focusing on Terraform, Nomad, Docker, Consul, Vault, Ansible, Python, Azure. Development technologies focused on React and C#.

Managed a global Application Development group comprised of 6 scrum teams and 40+ developers spread across 3 continents. Worked directly with the Product Management to develop a technical strategy to maintain existing and deliver new Financial Risk Management products.

Led the development of new Financial Risk Management products in the Banking, Corporates, and Real Estate sectors. Built full stack solutions from React front ends down to re-usable microservices tooptimized SQL queries. Created re-usable microservices libraries for authentication, statistics gathering, and logging that used across 100% of scrum teams in the organization. Focused on .NET, C#, React, NodeJS, Docker, RabbitMQ, Redis, SQL Server