I'm Devin Addison Decker, a software engineer passionate about building scalable, high-performance applications and modern AI-powered solutions.
My interests include AI systems, cloud-native development, backend engineering, and modern web technologies. I enjoy designing reliable software, integrating intelligent features with large language models, and building applications that are secure, maintainable, and easy to scale.
- π Currently building modern AI-powered and cloud-based applications
- π€ Interested in LLM applications, OpenAI APIs, Retrieval-Augmented Generation (RAG), LangChain, and AI assistants
- βοΈ Working with AWS, Docker, Kubernetes, and modern DevOps practices
- π± Continuously learning more about distributed systems, cloud architecture, and scalable software engineering
- π¬ Ask me about AI applications, cloud infrastructure, backend development, and software architecture
- π Based in Winslow, Indiana, United States
Building software that is scalable, reliable, and designed for real-world impact.
November 2023 β Present
- Contributed to enterprise AI initiatives focused on improving automation, user engagement, and operational efficiency.
- Built and optimized LLM-powered applications using GPT-4o, Claude, and modern AI APIs to improve response quality and system reliability.
- Developed Retrieval-Augmented Generation (RAG) systems using AWS Bedrock, DynamoDB, and semantic retrieval techniques.
- Built scalable backend services using .NET Core, C#, and AWS serverless technologies.
- Designed cloud-native architectures leveraging AWS Lambda, API Gateway, S3, and DynamoDB.
- Implemented CI/CD pipelines using Azure DevOps, GitHub Actions, and automated deployment workflows.
- Collaborated with cross-functional engineering teams to deliver secure, reliable, and production-ready AI solutions.
August 2021 β October 2023
- Led the design and development of enterprise-scale platforms supporting workflow automation and distributed systems.
- Built scalable full-stack applications using modern backend technologies and cloud-native architectures.
- Designed microservices and serverless solutions using AWS Lambda, API Gateway, Docker, and Kubernetes (EKS/AKS).
- Automated infrastructure provisioning with Terraform and implemented DevOps best practices.
- Improved deployment reliability through CI/CD pipelines using GitHub Actions, Jenkins, and cloud automation.
- Designed secure cloud infrastructure utilizing IAM, KMS, VPC, and enterprise networking practices.
- Contributed to AI-powered automation features integrated into enterprise workflows.
May 2018 β July 2021
- Developed enterprise web applications and backend services using modern software engineering practices.
- Designed and optimized high-performance RESTful APIs for enterprise applications.
- Built scalable relational and NoSQL database solutions using PostgreSQL, MongoDB, and cloud-managed databases.
- Automated infrastructure deployment using Azure ARM Templates, Bicep, and Infrastructure-as-Code principles.
- Developed CI/CD pipelines to improve release consistency and deployment automation.
- Managed Azure cloud infrastructure, including Virtual Machines, Virtual Networks, Azure AD, Blob Storage, and monitoring services.
- Implemented enterprise-grade identity management, RBAC, and network security solutions.
- OpenAI API
- LLM Applications
- LangChain
- Retrieval-Augmented Generation (RAG)
- Vector Databases
- Semantic Search
- AI Assistants
AI-powered enterprise assistant using LLMs and RAG architecture.
Tech Stack
React Β· TypeScript Β· FastAPI Β· OpenAI API Β· LangChain Β· Vector Database
Features:
- AI conversational interface
- Semantic search
- Document intelligence
- Context-aware responses
- Enterprise knowledge retrieval
Modern analytics platform with real-time data visualization.
Tech Stack
React Β· TypeScript Β· GraphQL Β· WebSockets Β· PostgreSQL
Features:
- Interactive dashboards
- Real-time updates
- Data visualization
- Responsive UI
Modern eCommerce experience built with CMS platforms.
Tech Stack
Shopify Β· WordPress Β· Drupal Β· Magento 2 Β· JavaScript
Features:
- Responsive storefronts
- Custom themes
- Payment integration
- Performance optimization
Northeastern University
Graduated: 2018
- Bachelor of Science (B.S.) in Computer Science
- Focused on software engineering, algorithms, distributed systems, cloud computing, and database systems.

