GCP

Turn an architecture spec into editable diagrams with official vendor service icons (Azure/AWS/GCP/K8s) - .pdf/.drawio/.vsdx. Usable by AI agents via skill or MCP server.

SIGNATE AI Engineering Challenge: 煩雑な社内ドライブをハックせよ — reproducible RAG pipeline + objective 3-gate scoring, GCP (Cloud Run/Vertex Gemini/Firestore) backend

AI-powered photo management platform

PoC: secure multi-tenant AI agent platform on GCP — Claude Agent SDK, guarded BigQuery/GCS tools, governance built in

Full-stack dual AI assistant platform comparing OSS and frontier models with shared memory, guardrails, tool calling, eval pipelines, and observability — built using FastAPI, LangGraph, React, MongoDB, and GCP.

RAG로 그라운딩한 한국 문학 원문을 초등학생 눈높이로 각색하고, 정답을 바로 주지 않는 대화형 코칭으로 문해력 향상을 돕는 Gemini 기반 AI 튜터 (GCP PBL 1차 MVP)

AI-powered Vedic astrology platform — architecture & engineering showcase (Next.js · Python · Claude · Supabase · GCP)

Production-grade AI Medical Assistant using FastAPI, LangGraph, LLM, GCP & Kubernetes

deploy llm on gcp using minimal compute

Multi-cloud market intelligence on AWS / Azure / GCP - live GPU pricing tracker, 2016-2026 market history from SEC filings, SQL star schema, interactive dashboards

Run Claude Agent SDK agents in sandboxed Cloud Run Jobs inside your own GCP project — audit trails, human approval gates, agents, scheduled deployments, platform connectors, Agent Skills, and zero always-on cost

Conversational US road-trip & motorcycle planner — Google ADK + Gemini 2.5 + Vertex AI Agent Runtime. Migrated from Qwiklabs to bikram-java GCP project with full env-var portability.

A Rehosted version of all the work I completed at Revature, Projects include : A basic Ingestion project, hosting and analyzing a data source on a cloud platform(GCP), a Computer Vision Road Safety agent, and a Multi-agent RAG Minecraft Assistant

High-performance hub bridging 10+ years of Ops leadership (Uber, Microsoft) with AI Engineering. Showcases agentic workflows, RAG, and infra for high-volume systems. Focused on the full LLM lifecycle: from scalable inference on GCP to automated Evals, safety, and business-driven Applied AI.

creating a video game story agent to connect to GCP for testing

RAG Learning Portfolio: 5 Spring AI apps from Naive RAG to Agentic RAG (Java 17, Spring Boot 3.3, Vertex AI)

Clean architecture and system-design diagrams as SVG — designed to be authored by LLMs. Single-spine arrow routing, 16:9 aspect-ratio-aware, zero deps. Includes a Claude Code skill bundle.