Cloud, DevOps
& AI infra, made
to make sense.
I’m Supraj Maripeddi — Senior Cloud & Platform Engineer. I design multi-cloud Kubernetes platforms, enforce least-privilege security, and build the AI agents that automate the work engineers shouldn’t do by hand.
DSPy
Programming prompts, not writing them
Stanford's framework that compiles declarative prompt code into optimized LLM instructions and selected few-shot examples automatically, matching software development patterns.
1. Define signature: question -> answer 2. BootstrapFewShot Optimizer 3. Compile & Save weights
Pick a path, then go deep
The site is organized around practical learning tracks, not just a list of pages. Choose the path closest to what you are building or studying today.
Guides & Blog Track
Long-form explanations and field notes for cloud, DevOps, Kubernetes, security, AI infra, and production engineering.
DevOps Engineer Track
Linux, Git, containers, CI/CD, Terraform, Kubernetes, monitoring, and the operating habits behind reliable platforms.
Cloud Architecture Track
AWS, GCP, Azure, multi-account patterns, network boundaries, reliability tradeoffs, and reusable deployment shapes.
AI Engineering Track
Agents, RAG, evaluation, guardrails, model routing, and the production infrastructure around useful AI systems.
Core sections
The main shelves: structured learning, hands-on utilities, reference architectures, long-form guides, notes, and practice material.
Structured learning paths for DevOps, cloud, MLOps, and SRE.
Calculators, simulators, builders, and browser-first engineering utilities.
Ingests live AWS CloudTrail logs, isolates over-permissive policies, and opens PRs with least-privilege Terraform fixes — 99%+ automated resolution.
Homebrew-distributed CLI that monitors live AWS & GCP config against Terraform state, raising instant Slack/Webex alerts on out-of-band drift.
Parses AWS CUR & GCP billing CSVs entirely client-side, tags waste, and generates instant FinOps PDF reports — no data leaves the browser.
Guardrails are the runtime control plane around an LLM — what they are, why every production AI app needs them, and how to implement them with Bedrock Guardrails, NeMo Guardrails, and Llama Guard, with real configs.
The forward deployed engineer doesn't build for the customer — they build with them. What the role actually is, where it came from, the glue code nobody sees, and how to tell if it's you.
Loop engineering is the 2026 shift from prompting AI agents turn-by-turn to designing the system that prompts, verifies, retries, and stops them. What it is, why it matters, and how to build one — with real loops.
Let’s build
something solid.
Open to senior platform engineering roles, AI-infrastructure projects, and cloud consulting. Remote-friendly.