Selected Work

./ai_agentic_app

Built a 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. The system 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. The project focuses on prompt engineering, structured tool calling, secure agent execution, and scalable deployment of AI-powered systems.

OpenAI SDK MCP AI Agents RAG Vector DB Full-Stack AI

./ai_coding_agent

Personal project exploring the design of a 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.

OpenAI SDK MCP AI Agents Python LLMs

./doc_automation

Cloud-solution utilizing Python Flask microservices and Gemini AI / Vision API for high-accuracy data extraction.

Python Angular GCP

./cloud_migration

Automated large-scale AWS to GCP migrations, including EKS clusters to GKE, using Terraform and custom scripts.

Linux GCP Terraform Kubernetes

./marketplace_ops

Automation framework for managing and deploying SaaS listings on the Google Cloud Marketplace.

Shell Python GCP Cloud Run