KR
Portfolio · 2026Based in Mumbai
Krishna
Ruparelia.
Senior Full-Stack EngineerAI EngineerFull-Stack Architect

Five years building production-grade systems — from scalable full-stack applications to intelligent AI products. Led teams, shipped features at scale, and architected backends trusted in production.

Selected work→Résumé↓
5+
Years
20+
Projects
6
Companies
3
AI Products
Portrait of Krishna Ruparelia
Fig. 01Mumbai · IN
Worked with / at
  • Blackbox.AI
  • The Branding Club
  • Sanda Group
  • Kenverse
  • Margosatree
§ 01

About

I build software that’s genuinely useful — most days, that means working at the seam between language models and real product surfaces.

I'm a Senior Full Stack Developer specializing in MERN stack, Next.js, and Python frameworks, with deep expertise in AI/LLM integration. Currently building production-grade AI applications at Blackbox.AI, I architect scalable systems that leverage the power of large language models, RAG workflows, and intelligent automation.

With 5+ years of experience across startups and product companies, I've led teams, designed microservices, and shipped features used by thousands. I'm passionate about the intersection of AI and software engineering — building tools that don't just work, but think.

Outside of shipping, I spend time studying how teams ship — what makes a codebase humane, what makes a release feel inevitable, and how to keep AI features grounded enough to trust in production.

§ 02

Experience

    • 01Building full-stack web applications and AI-powered products for clients across fintech, SaaS, and e-commerce verticals
    • 02Architecting LLM-integrated backends using FastAPI, LangChain, and OpenAI-compatible APIs with RAG pipelines and agentic workflows
    • 03Developing responsive, performant frontends with React, Next.js, TypeScript, and Tailwind CSS
    • 04Designing and deploying scalable REST APIs, microservices, and event-driven systems using Node.js, Express, and PostgreSQL
    • 05Implementing AI automation features including intelligent chatbots, document Q&A systems, and multi-model orchestration layers
    • 06Consulting on AI strategy, system architecture, and engineering best practices for early-stage startups
§ 03

Selected work

Several client projects are under NDA. Happy to walk through them on a call.

All repos on GitHub↗
§ 04

Stack & tools

I’m not a fan of skill bars — they lie. Here’s an honest breakdown of where I am with the tools I use.

01

Daily drivers

Tools I reach for every day. Production-grade, deeply opinionated.

  • JavaScript
  • TypeScript
  • React.js
  • Next.js
  • Node.js
  • Python
  • FastAPI
  • Express.js
  • PostgreSQL
  • MongoDB
  • OpenAI API
  • LangChain
  • Prompt Engineering
  • RAG Systems
  • AI Agents
02

Comfortable with

Used extensively on shipping projects.

  • Tailwind CSS
  • Framer Motion
  • GSAP
  • Redux / RTK
  • GraphQL
  • Django
  • Redis
  • Socket.io
  • Docker
  • LiteLLM
  • LangGraph
  • Pinecone
  • Vector DBs
  • Multi-model AI
  • Webhooks
  • REST APIs
  • Microservices
  • CI/CD
  • Git / GitHub
03

Familiar with

Hands-on, but not where I spend most of my time.

  • Kubernetes
  • AWS
  • Storyblok CMS
  • Adyen
  • Stripe
  • OAuth2
  • JWT / Auth
  • Nodemailer
  • BEM / Sass
  • Three.js
  • Neon DB
  • Prisma ORM
  • Recharts
Approach

Pick the boring, dependable thing — until the problem demands otherwise.

Editor

Cursor / VS Code, Vim bindings, fish shell, Linear, Raycast.

Always learning

Evals for LLM apps, distributed systems patterns, design systems ergonomics.

§ 05

Contact

Let’s build
something worth shipping.

PGP / detailed brief? Email me directly.