Fast architecture flows, sequences, state machines, and dependency maps directly in Markdown.
Bharath Rajiv A / Engineering Intelligence System
A sharp, searchable, visual-first wiki for AI architecture, distributed systems, platform engineering, DevOps, drones, embedded systems, quantitative reasoning, and the build logs behind real engineering taste.
Agents, retrieval systems, model orchestration, evaluation loops, and applied AI systems.
cloud / sre / devopsCloud platforms, OpenStack, Kubernetes, internal developer platforms, SRE, and DevOps.
diagrams / decisions / mapsMermaid flows, Excalidraw sketches, topology maps, and decision records for complex systems.
algorithms / cat / mathLeetCode, algorithms, CAT Quant, VARC, DILR, mental models, and competitive reasoning.
drones / iot / embeddedDrone design, IoT, embedded electronics, custom OS work, ROMs, and edge computing.
logs / experiments / blogsRaw engineering notes, failure analysis, implementation journals, experiments, and retrospectives.
Visualization Layer
Every serious system gets multiple representations: fast sketches, precise diagrams, implementation notes, polished visual references, and decision records that explain why the design exists.
Fast architecture flows, sequences, state machines, and dependency maps directly in Markdown.
Clean reference pages with crisp hierarchy, short summaries, code blocks, and searchable metadata.
Sketch-first system design for rough topology, brain dumps, interviews, and architecture thinking.
Final diagrams for flagship builds, public posts, and portfolio-grade visual storytelling.
Architecture decisions, constraints, alternatives, tradeoffs, failure modes, and implementation notes.
This site is being rebuilt as a public engineering memory system: part portfolio, part research notebook, part architecture lab. The goal is not to merely list projects, but to show how ideas become systems through diagrams, constraints, tradeoffs, experiments, failures, and implementation notes.
| Principle | How it shows up |
|---|---|
| Modern by default | Strong visual hierarchy, dark-mode-first surfaces, sharp typography, and a design language that feels current. |
| Searchable knowledge | Consistent frontmatter, tags, domain pages, and short summaries so notes stay findable as the wiki grows. |
| Visual architecture | Mermaid, Excalidraw exports, polished diagrams, decision records, and topology maps live beside the writing. |
| Proof of excellence | Every flagship page should expose taste: constraints, reasoning, build quality, and hard-won lessons. |