Building enterprise insurance solutions, cloud-native applications, and AI-powered solutions.

I'm a Software Engineer with over 12 years of experience delivering enterprise applications within the Property & Casualty Insurance domain.

My professional journey spans enterprise software engineering, Guidewire PolicyCenter, cloud technologies, backend systems, APIs, distributed architectures, and modern engineering practices.

I'm passionate about designing scalable software, learning emerging technologies, and sharing knowledge through technical documentation and hands-on projects.

This GitHub serves as my engineering portfolio, where I document my learning journey, cloud implementations, architecture notes, and software projects.

• ☁️ Google Cloud Platform
• ☁️ Microsoft Azure
• 🤖 Artificial Intelligence
• 📊 Azure SQL & SQL AI
• 🐳 Kubernetes
• ⚙️ Terraform
• 🏢 Guidewire PolicyCenter
• 🌐 Distributed Systems
• 📐 Software Architecture
• 📚 System Design

I enjoy working on enterprise insurance platforms and continuously expanding my knowledge of the Guidewire ecosystem.

• PolicyCenter
• Policy Lifecycle
• Policy Transactions
• Submission
• Renewal
• Rewrite
• Cancellation
• Reinstatement
• Policy Change

• Product Model
• Underwriting
• Rating
• Policy Issuance
• Producer Management
• Job Lifecycle

• Cloud API
• REST APIs
• Messaging
• Integration Patterns
• External Systems
• Batch Processing

• Guidewire Cloud
• Configuration Concepts
• Data Model
• Security
• Permissions
• Performance Best Practices

• Java
• Python
• SQL
• JavaScript

• Google Cloud Platform
• Microsoft Azure

• Docker
• Kubernetes
• Terraform
• GitHub Actions

• Spring Boot
• REST APIs
• Microservices

• Azure SQL
• SQL Server
• PostgreSQL
• MySQL

• Git
• Maven
• IntelliJ IDEA
• VS Code
• Postman

• Microsoft DP-800
• AI-enabled Database Development
• Vector Search
• Retrieval-Augmented Generation (RAG)
• Cloud Native Architecture
• Large Language Models (LLMs)

Architecture, Product Model, Underwriting, Rating, Policy Transactions, Cloud API, Integration Patterns and Design Concepts.

Hands-on projects covering GKE, BigQuery, Cloud Storage, Cloud Functions, IAM, Cloud Run and Terraform.

Azure SQL AI, Vector Search, Embeddings, Retrieval-Augmented Generation (RAG), AI-powered databases.

Modern Java applications, design patterns, object-oriented programming and backend development.

Kubernetes, Docker, Infrastructure as Code and deployment automation.

Architecture patterns, software design, distributed systems and engineering best practices.

• 🎯 Microsoft DP-800 Certified
• 🚀 Build AI-powered cloud applications
• ☁️ Master Azure AI & Data Services
• 🌍 Contribute to Open Source
• 📖 Publish engineering articles and technical documentation
• 💡 Develop scalable software solutions

"Technology is not just about writing code—it's about solving real-world problems through thoughtful engineering, continuous learning, and innovation."

💼 LinkedIn
🔗 https://www.linkedin.com/in/rakhi-thakur-223a3b24

💻 GitHub
🔗 https://github.com/quantum-rakhi

⭐ Thanks for visiting my profile! Feel free to explore my repositories and connect with me.