AI Engineer building agents that listen, reason, use tools and get real work done in production, from multi-agent research systems to voice bots that run interviews live, on production-grade cloud infrastructure.
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A real terminal — type help to see what's available.
AI systems, built on production-grade infrastructure.
Docker
Kubernetes
Jenkins
Terraform
Ansible
GitHub
One of the largest content discovery and reader platforms on the web, with products serving millions of readers, creators and podcast listeners.
RSS feed reader & aggregator. Curated feeds, smart folders, full-text search across millions of articles.
Schedule and publish content across social channels at the optimal time. Bulk-upload, queue management, multi-account support.
Tools for content creators & bloggers — distribution, audience growth, ranking insights, and outreach to top blogs & influencers.
One of the largest podcast directories on the web — discovery, ranking, and metadata across a million podcast titles.
Agentic AI systems, from voice agents to multi-agent research.
Live meeting notes, an AI interview assistant and a voice bot that runs interviews inside Google Meet, Zoom or Teams. Local Whisper transcription keeps audio on the device, and every AI note or rating must quote the transcript or it is dropped.
Multi-agent investment research for Indian investors on live NSE/BSE, gold, silver and mutual fund data, with cited reports, portfolio analytics and a rebalancing planner.
AI customer support agent with RAG over the help centre, tool calling for orders and refunds, and human-in-the-loop approval before any refund is issued.
GitHub Actions CI/CD for a React + TypeScript app: Vitest and ESLint checks, multi-stage Docker build served by Nginx, Trivy image scanning, and automatic Kubernetes manifest updates.
Containerized MERN application (React frontend, Node.js API, MongoDB) on a shared Docker network, orchestrated with Docker Compose.
Free study guides I publish for the community: notes, cheat sheets and hands-on labs.
Containers, images, Dockerfiles, multi-stage builds, Compose, volumes & networking.
Pods, deployments, services, ingress, Helm, kubectl, and real cluster labs.
Full study notes for the CLF-C02 exam — services, pricing, security, and the Well-Architected Framework.
AIF-C01 study guide — Bedrock, SageMaker, generative AI fundamentals, and RAG architecture patterns.
Building with AI agents, RAG or LLMs in production? I'm always happy to talk shop.
