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Stack · Tools

Stack

  • Tools I use daily for product, cloud, infra, and systems work.
  • Open to full-time roles where AI, product ownership, and robust systems meet.
  • Levels: Engineer → senior → lead → staff / principal → systems architecture
AI productsLLM / RAG systemsProduct engineeringPlatform & cloudInfrastructure / DevOpsSystems architectureDeveloper toolsProtocol / Web3

Open to work · Projects · AI-native

Tools & Ecosystem

Cursor
Claude Code
GitHub
TypeScript
JavaScript
Svelte
React
Tailwind
Vite
OpenAI
Kiro CLI
Notion
Figma
Discord
X
Copilot

Lab · Signals

Plot it yourself

Two signals I actually reason in: a feedback loop settling to steady state (damped sine) and compounding returns that taper (log growth) — the shapes behind agent loops and skill depth. Type your own, stack up to four curves, scroll to zoom, drag to pan.

Insight

Focus mix

Where weekly energy goes — personal products first.

Hardware

4
  • MacBook Pro M5 Pro Primary Apple Silicon laptop — product, architecture notes, and day-to-day engineering
  • Mac mini Always-on desktop build, CI-like local loops, and agent harness machine
  • Lenovo Legion 7 Windows / high-performance path for dual-OS, GPU-heavy, and lower-level experiments
  • HHKB Professional Hybrid Type-S, blank keycaps — long coding sessions

Languages

8
  • TypeScript Strict mode — product apps, platform UIs, tooling, and typed service boundaries
  • JavaScript Runtime ecosystems, scripting, interop, and legacy system integration
  • Rust Safe concurrent systems, FFI layers (e.g. Hone data path), performance-sensitive code
  • Go Services, APIs, tooling, and ops-friendly binaries for product and infrastructure
  • Python AI/ML, data, automation, teaching labs, and research spikes
  • Swift / Dart macOS utilities and mobile products (native + Flutter surfaces)
  • C / systems-adjacent FFI boundaries, performance paths, and comfort near lower-level interfaces
  • Solidity Smart contracts, audit-aware patterns, protocol-adjacent product work

Frameworks & runtimes

8
  • Svelte / SvelteKit This site and product UIs — compiler-first UI, signals, SSR
  • React / Next.js Product UIs, RSC, design systems, and enterprise-facing surfaces
  • Astro Content-heavy and marketing sites with selective hydration
  • Vue Component systems and progressive apps when the team stack requires it
  • Node.js Long-lived services, APIs, and tooling in production product stacks
  • Bun Fast local tooling, tests, scripts, and modern TS runtimes
  • Deno Secure TS runtimes and edge-friendly scripts
  • Vite Frontend builds and HMR across stacks

Styles & UI systems

5
  • Sass / SCSS Variables, mixins, modules, and maintainable stylesheets for design systems and large UI surfaces
  • Tailwind CSS Utility-first product UI — this site and fast multi-surface delivery
  • CSS / CSS Modules Scoped styles, tokens, and progressive enhancement when utilities are not the fit
  • Design tokens Color, type, spacing, and motion systems shared across product and brand surfaces
  • Figma → code Translate design systems into components without losing spacing, type, or state fidelity

AI-native development

7
  • Cursor Primary AI-native IDE — multi-file agents, rules, MCP (feature through architecture work)
  • Claude Code Terminal agent for long-horizon architecture, migrations, and deep review
  • OpenAI Codex / CLI agents Plan–execute and PR-shaped agent loops on instruction-wired repos
  • Kiro CLI Spec-driven agentic CLI workflows for structured delivery
  • GitHub Copilot Inline assist and enterprise-friendly agent surfaces
  • GitHub Actions CI, release, review automation — platform and team delivery loops
  • pnpm / npm / Bun Package managers by repo and org convention

Cloud, infrastructure & ops

6
  • AWS & GCP Cloud infrastructure, services, and product backends (not only slides)
  • Kubernetes Container orchestration and platform runtime shape
  • Docker Containerization for local parity, CI, and deployable services
  • Terraform Infrastructure as Code — environments, reproducibility, change review
  • Datadog / OpenTelemetry Monitoring, tracing, and SLA-minded observability
  • CI/CD & release hygiene Pipelines, gates, and release discipline for product and platform teams

AI, data & Web3

7
  • LangChain & LlamaIndex Agentic LLM applications and retrieval-backed product features
  • LangGraph Graph-based multi-agent orchestration
  • Pinecone & Qdrant Vector databases for RAG and semantic product surfaces
  • scikit-learn / PyTorch Classical ML + deep learning labs and applied spikes
  • RAG evaluation Golden queries, retrieval quality, and production readiness checks
  • Cosmos SDK / L1 patterns Protocol architecture notes for L1-class systems and identity runtimes
  • CrewAI & AutoGen Multi-agent orchestration patterns for product experiments

Design, planning & delivery

5
  • Figma UI and prototyping — product craft and stakeholder alignment
  • Linear Issue tracking and execution cadence
  • Notion Docs, RFCs, and architecture notes
  • Technical planning Roadmaps, milestones, risks — high-level planning when the seat needs it
  • Curriculum design AIML labs across Poornima campuses (past part-time teaching)