Fnu Nousheerwan

About Fnu Nousheerwan

Software Engineer at General Motors.

Experience

1. Software Engineer - L6

   General Motors

   Mar 2023 — Present · Austin, TX, US

   RAG AI Implementation: Spearheaded the innovative integration of Generative AI (GenAI) technology in GM software ecosystem through the Retrieval-Augmented Generation (RAG) technique, utilizing GM ME (Manufacturing Engineering) standard documents to deliver intelligent, context-aware responses.• Multi-Agent Gen-AI: Drove a fully Azure cloud-based multi-agent AI solution at GM, integrated with Microsoft Teams. The solution leveraged the LangGraph library and SQL toolkit to dynamically generate prompt-based SQL queries, enabling real-time interactions with Databricks data sources. • Infrastructure Automation & Deployment: Led the automation of Azure infrastructure deployment using Bicep and IaC pipelines. Successfully provisioned and managed virtual networks, storage accounts, Cosmos DB, app service, PostgreSQL, Azure Bot Services to enhance cloud-based AI functionalities.• Microservice Development: Directed multiple projects using a 12-factor microservice architecture, ensuring seamless continuous integration, build, and delivery processes via Spring Boot/Reactive.• Software Solutions API Development: Modernized legacy systems and developed new software solutions, including the creation of RESTful APIs with Java Spring Boot for efficient data transfer object (DTO) management.• Build/Release Automation: Engineered and maintained advanced build and release pipelines using Azure DevOps, Jenkins, Maven, Artifactory, Black Duck, and SonarQube to ensure consistent and reliable software deployments.• Containerization Deployment: Designed and implemented containerization strategies using Docker and Kubernetes, facilitating the deployment of microservices to Kubernetes clusters and Azure App Service, thereby optimizing performance and ensuring system stability.• Manufacturing Support: Developed software systems to support GM’s manufacturing operations, including the configuration and analysis of Programmable Logic Controllers (PLCs) across all GM plants.

Education

• University of Illinois Chicago

  Bachelor's degree, Computer Science

• Stanford University

  Artificial Intelligence Graduate Certificate

• The University of Texas at Austin

  Master of Science - MSE, Software Engineering