Full stack web apps
From idea to working product with React, Next.js and Node.js.
- Responsive UIs in Tailwind CSS
- REST & GraphQL integration
- Admin dashboards
- MongoDB / PostgreSQL design
I design, build and ship fast, scalable web and mobile products — and build AI into them, from chatbots to agents.

Core stack: React, Next.js, React Native, Node.js, NestJS, GraphQL, TypeScript, AI agents, Chatbots, RAG search, MongoDB, PostgreSQL, Redis, Docker, Kubernetes, AWS.
I'm a full stack developer with nearly five years of shipping production code — real-time APIs in NestJS and GraphQL, data models in MongoDB and PostgreSQL, and responsive interfaces in React, Next.js and React Native — plus AI integration: chatbots, agents, RAG search and AI workflows, shipped to production cloud and monitored once live.
Message me before ordering — we'll scope the work together so you know exactly what you're getting.
From idea to working product with React, Next.js and Node.js.
One React Native codebase for iOS, Android, phones and tablets.
NestJS or Express services that are typed, fast and maintainable.
Chatbots, agents, RAG search and AI workflows built into your product.
We talk through your goals, scope and timeline.
Clear milestones and the stack that fits the job.
Clean TypeScript, with regular progress updates.
Tested and handed over, ready to launch.
Not sure what you need yet? Pick one of six free ways to start. No cost and no obligation — you keep the advice whether we work together or not.
You have an idea and want a straight answer on how to build it — what it takes, what to build first and what to skip.
How it worksSend a short note about your idea with a few times that suit you. I work from Kolkata (IST) and keep flexible hours for other time zones.
We go over your goals, users, must-have features, budget range and deadlines.
I recommend a tech stack, a lean first version and point out the main risks.
You get a written summary. Build it with me, with someone else, or not at all.
Already know what you want? Send me the brief and get a written breakdown you can plan and budget around.
How it worksA document, Figma file, rough notes or a few paragraphs — whatever you have.
I ask the questions that change the price, so nothing is guessed.
Milestones, a realistic timeline and a cost range, with every assumption written down.
Optional call to go over the numbers and adjust the scope together.
Your app is live or in progress, but something feels slow, fragile or messy. Get an honest outside review.
How it worksRead-only access to your repository, or just the live URL for a front-end and performance review.
Architecture, performance, error handling and security basics across front end and API.
Issues sorted by impact, split into quick wins and bigger fixes.
A short call to explain the findings and answer your team’s questions.
Wondering where AI actually helps your product? Find the use cases worth building — and the ones that aren’t.
How it worksWhat it does, who uses it and what data you already have.
Chatbots, RAG search over your documents, agents or automated content workflows.
Data readiness, model choice, running cost per user, privacy and guardrails.
A small, low-risk first build to prove the value before you commit.
Paying too much for hosting, deploying by hand or finding out about crashes from your users? Let’s fix that.
How it worksWhere the app runs, what you pay and how you deploy today.
Reliability, monthly cost, backups, monitoring and alerting.
I recommend a Lean, Control or Scale setup for your traffic and budget.
Clear steps to move — do it yourself or have me handle it.
Stuck on a bug that keeps coming back? Send it over and get a diagnosis and a plan to fix it for good.
How it worksThe error message, logs, steps to reproduce or a quick screen recording.
I trace the problem to its root cause, not just the symptom.
What is broken, why it happens and how to fix it, with an effort estimate.
Fix it in-house with the plan, or hire me to fix it and add a test so it can’t return.
As an AI integration developer on the MERN stack, I bridge the gap between your data, AI models and the app your users actually touch.
Bots that understand intent and remember the conversation, for support and internal workflows.
Agents that act on a plain-language request — query data, draft an email, update a ticket.
RAG with MongoDB Atlas Vector Search — ask your documents questions in plain language.
Product and content suggestions matched on meaning, not just tags.
Summarise PDFs, extract names, dates and prices, translate text — automatically.
Images and voice notes turned into clean, structured data for your app.
Prompt-injection checks and personal-data redaction before anything reaches an AI provider.
Per-user usage limits that keep AI bills predictable and responses fast.
UI/UX, CRUD operations, database queries and business logic.
Connects web apps to AI models, designs smart backend flows and handles data embeddings — on a full stack foundation.
Trains models, tunes algorithms and manages large raw datasets.
One home for everything I build — a blog, a notebook, a task board and a mind-map studio. Four focused apps under one address, all arriving soon.
Visit acharyya.appThe blog
The notebook
The task board
The mind-map studio
I don't hand over code and walk away. I ship your app to production, set it up to scale, and wire in monitoring so problems are caught before your users report them.
Your app packaged with Docker so it runs the same everywhere, with secrets kept out of the code.
Runs on managed cloud or Kubernetes that adds capacity during traffic spikes and recovers on its own if a server fails.
Instant alerts pointing to the exact line that broke, live performance dashboards and automatic restarts if the API crashes.
Managed platforms with error tracking and cloud dashboards. Least to look after — ideal for MVPs and small business apps.
Your own VPS with process management, error tracking and self-hosted dashboards. Full control at a small monthly cost.
Containers on managed Kubernetes with a dedicated database — high availability and auto-scaling for serious traffic.
Your users shouldn't be the ones finding bugs. Every project gets automated tests before release, and a clear process if something breaks in production.
Unit tests for business logic and API tests for every key route — before anything ships.
Production errors alert me instantly, with the exact line that failed — usually before anyone reports it.
Stack traces and replayed requests reproduce the issue locally, using anonymised data — no guesswork.
Every fix ships with a regression test, and the full suite runs before deploy — so the same bug can't return.
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Tell me what you're building — a new product, a feature for an existing app, AI integration, or start with a free consultation. I'll reply with next steps.
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