Projects

Agentic planning + tool execution with RAG-backed retrieval, served behind intelligent APIs.

Full-stack AI application using the OpenAI SDK and modern agent-based architectures, combining agentic workflows, RAG, and vector search to create an intelligent assistant capable of handling complex, multi-step tasks. Leverages AI agents with planning and tool execution, integrates a vector database for contextual retrieval, and exposes intelligent APIs through a backend service with a responsive frontend interface.

Codebase-aware reasoning that plans, edits, and debugs across real repositories.

Claude-style AI coding agent using the OpenAI SDK and MCP servers. The agent supports multi-step planning, tool execution, and codebase-aware reasoning to assist with code generation, refactoring, and debugging in real-world repositories.

High-accuracy structured extraction from insurance documents on a cloud-native pipeline.

Cloud-native document processing platform using Python Flask microservices and Gemini AI / Vision API for high-accuracy data extraction from insurance policy documents.

Automated AWS→GCP migrations (EKS→GKE) with Terraform, improving cost and security.

Automated large-scale AWS to GCP migrations, including EKS clusters to GKE, using Terraform and custom scripts — improving performance, security, and cost efficiency.

One framework to publish and manage multi-tier SaaS listings on GCP Marketplace.

Automation framework for managing and deploying SaaS listings on the Google Cloud Marketplace across multiple product tiers.