Backend & AI systems engineer with a strong 0→1 product mindset. I build reliable AI agents, real-time workflows, and distributed backends designed for production, not demos — owning outcomes end-to-end.
Spanning the full stack from IoT device firmware to cloud microservices and beyond.
Production systems and open-source tools I've architected and shipped.
No-code platform to create, deploy, and manage AI agents across any public or private website — accessible through a centralized dashboard. Powering 10+ live businesses. Multi-platform: WooCommerce, Shopify, WordPress plugin, and NPM package.
Multi-agent personal assistant built with LangGraph & OpenRouter. Supervisor agent routes to specialized sub-agents for task management, Google Calendar integration, daily planning, and personal data storage. Deployed on AWS ECS Fargate with React + Vite frontend on S3/CloudFront.
High-frequency fleet management platform processing vehicle telemetry every 5 seconds. Live at Bangalore International Airport (BIAL) for staff shuttle tracking. Built with Go, AWS IoT Core, Redis Pub/Sub, and SSE.
Drink-spiking prevention platform combining portable spectroscopy hardware with a real-time mobile safety app. SOS alerts, live location sharing, and sub-3-second scan results.
Multimodal RAG platform on Azure. Documents uploaded to Blob Storage → text & images extracted → embedded via text-embedding-3-small → indexed in Azure AI Search → GPT-4.1 powered chat with contextual recall. Retrieval surfaces relevant text chunks + images together.
AI agent that answers with live, interactive React components instead of plain text — a form when fields are missing, a table when data should be scanned, a chart when the trend matters, a confirm card before a write fires. Streamed over AG-UI with server-held state and human-approved writes; a CRM is the reference domain.
End-to-end agentic commerce on the Universal Commerce Protocol: an AI shopping agent (Google ADK + Gemini), a FastAPI merchant reference implementation, and a Next.js storefront. The agent discovers the merchant from a single URL, links identity via OAuth, and completes real checkouts — all three services deployed and live.
Open-source Go library for ORM-level audit logging with GORM. Tracks create/update/delete events with minimal configuration overhead.
Config-driven AI tutoring agent built with Google ADK and Gemini — YAML-defined agent, markdown prompts, dynamic tool loading, calculator and Google Search tools. Companion repo to the AI Agent System blog series.
Local execution framework for AWS Bedrock agents — run and test Bedrock AI agents in a local development environment with multiple interface modes.
Image search powered by Google Gemini multimodal capabilities. Enables semantic search across images using AI embeddings and vector similarity.
Agentic Dynamic UI — an AI agent that answers with live, interactive React components (forms, tables, charts, confirm cards) instead of plain text, streamed over AG-UI. CRM reference implementation.
AI shopping agent (Google ADK + Gemini) that discovers, browses, links identity, and completes checkout on any UCP-enabled merchant — entirely through conversation.
Reference implementation of the Universal Commerce Protocol (UCP) — a FastAPI merchant layer that lets AI agents discover, authenticate, and transact with online stores.
Go library that adds automatic audit logging to GORM apps — records INSERT/UPDATE/DELETE with user attribution, for MySQL and PostgreSQL.
Multimodal image search — FastAPI app that indexes local images with Gemini embeddings into Qdrant and serves a browser UI for text- and image-based search.
A philosophical inversion of the oldest contract in computing — and the open-source agent stack behind /agent that lives the bet. Markdown-as-data, Haiku router + Sonnet responder, MCP from day one, ~500 lines.
Coding used to be the scarce skill. It is not anymore. An essay on how AI collapsed the engineering ladder, why ownership is the only thing left that matters, and what it means to be an engineer when the machine already writes the code.
A deep narrative spanning punch cards, blinking terminals, GUI wars, the chatbot false start, and the LLM revolution — tracing how human-computer interaction evolved across eight paradigm shifts.