Available for freelance projects · Free consultation →Full stack · AI integration · Cloud deployment

I design, build and ship fast, scalable web and mobile products — and build AI into them, from chatbots to agents.

Portrait of Suman Acharyya
Kolkata, INIST (UTC+5:30)
Suman AcharyyaFull Stack & AI Integration Developer
~5 years
Shipping production code for real products
Web & mobile
React, Next.js and React Native front ends
APIs
NestJS, Express, GraphQL, REST and WebSockets
AI built in
Chatbots, agents, RAG search and AI workflows

Core stack: React, Next.js, React Native, Node.js, NestJS, GraphQL, TypeScript, AI agents, Chatbots, RAG search, MongoDB, PostgreSQL, Redis, Docker, Kubernetes, AWS.

(01) About

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.

Currently
Web Developer at Symlink Technologies, since May 2023
Education
MCA, Brainware University
Languages
English, Bengali, Hindi
Works
Remotely, with clients anywhere
(02) Services

How I can help your product

Message me before ordering — we'll scope the work together so you know exactly what you're getting.

01Web

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
Discuss a web app →
02Mobile

Cross-platform mobile apps

One React Native codebase for iOS, Android, phones and tablets.

  • Phone & tablet layouts
  • API & real-time integration
  • Reusable UI components
  • Testing before handover
Discuss a mobile app →
03Backend

Backends & APIs

NestJS or Express services that are typed, fast and maintainable.

  • REST & GraphQL APIs
  • Real-time with WebSockets
  • Redis caching
  • Docker-ready services
Discuss a backend →
04AI

AI integration

Chatbots, agents, RAG search and AI workflows built into your product.

  • Chatbots & AI agents
  • RAG & semantic search
  • Content & multi-modal APIs
  • Guardrails & cost control
Discuss AI for your product →
  1. Step 01

    Discuss

    We talk through your goals, scope and timeline.

  2. Step 02

    Plan

    Clear milestones and the stack that fits the job.

  3. Step 03

    Build

    Clean TypeScript, with regular progress updates.

  4. Step 04

    Deliver

    Tested and handed over, ready to launch.

(03) Free consultation

Start with a free consultation

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.

  • 100% free
  • No obligation
  • You keep the plan
  • Your code stays private
30 min · Video callFree · No obligation

Discovery call

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 works
  1. Pick a time

    Send 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.

  2. Talk it through

    We go over your goals, users, must-have features, budget range and deadlines.

  3. Get a clear direction

    I recommend a tech stack, a lean first version and point out the main risks.

  4. Decide, no pressure

    You get a written summary. Build it with me, with someone else, or not at all.

What you get
  • Recommended tech stack
  • MVP feature list
  • Key risks and unknowns
  • Written call summary
(04) AI integration

Apps that understand, search and act

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.

Conversational systems

01

Context-aware chatbots

Bots that understand intent and remember the conversation, for support and internal workflows.

AI agents

Agents that act on a plain-language request — query data, draft an email, update a ticket.

Search & retrieval (RAG)

02

Vector search

RAG with MongoDB Atlas Vector Search — ask your documents questions in plain language.

Semantic recommendations

Product and content suggestions matched on meaning, not just tags.

Data processing APIs

03

Automated content workflows

Summarise PDFs, extract names, dates and prices, translate text — automatically.

Multi-modal processing

Images and voice notes turned into clean, structured data for your app.

AI governance & security

04

Guardrails & redaction

Prompt-injection checks and personal-data redaction before anything reaches an AI provider.

Rate limits & cost control

Per-user usage limits that keep AI bills predictable and responses fast.

Where I fit

The layer between your product and the model.

Layer 01

Full stack developer

UI/UX, CRUD operations, database queries and business logic.

Layer 02 · Me

AI integration developer

Connects web apps to AI models, designs smart backend flows and handles data embeddings — on a full stack foundation.

Layer 03

Data scientist / ML engineer

Trains models, tunes algorithms and manages large raw datasets.

(05) Selected work

Products I've built & am building

Featured · Product suite

acharyya.app

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.app
  • Arriving soon

    Inkpost

    The blog

  • Arriving soon

    Mnemo

    The notebook

  • Arriving soon

    Tickd

    The task board

  • Arriving soon

    Mindloom

    The mind-map studio

(06) Deploy, scale & monitor

Live, fast and kept healthy

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.

MERN on KubernetesReference architecture
Internet / usersRequests over HTTPS
IngressSSL · routes traffic
/ → Frontend serviceReact pods behind Nginx
/api → Backend serviceNode API pods · auto-scaled (HPA)
MongoDB AtlasManaged, outside the cluster
Ship

Packaged to run anywhere

Your app packaged with Docker so it runs the same everywhere, with secrets kept out of the code.

Docker · Nginx · Node-alpine
Scale

Ready for traffic spikes

Runs on managed cloud or Kubernetes that adds capacity during traffic spikes and recovers on its own if a server fails.

Kubernetes · AWS · DigitalOcean · Vercel · MongoDB Atlas
Monitor

Problems caught first

Instant alerts pointing to the exact line that broke, live performance dashboards and automatic restarts if the API crashes.

Sentry · Prometheus · Grafana · OpenTelemetry · PM2

A setup that fits your budget

I'll recommend one on our first call
Low maintenance

Lean

Managed platforms with error tracking and cloud dashboards. Least to look after — ideal for MVPs and small business apps.

Vercel · Render · Railway · AWS Lambda
Lowest hosting bill

Control

Your own VPS with process management, error tracking and self-hosted dashboards. Full control at a small monthly cost.

DigitalOcean · Hetzner · AWS EC2 · Linode
Built for growth

Scale

Containers on managed Kubernetes with a dedicated database — high availability and auto-scaling for serious traffic.

AWS EKS · DigitalOcean DOKS · Google GKE
(07) Quality & bug fixing

Tested before launch, fixed for good

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.

  1. Test

    Unit tests for business logic and API tests for every key route — before anything ships.

    Jest · Supertest · Bruno / Postman
  2. Catch

    Production errors alert me instantly, with the exact line that failed — usually before anyone reports it.

    Sentry · Email / Slack alerts
  3. Diagnose

    Stack traces and replayed requests reproduce the issue locally, using anonymised data — no guesswork.

    Sentry · PM2 logs · Bruno
  4. Fix & prevent

    Every fix ships with a regression test, and the full suite runs before deploy — so the same bug can't return.

    Jest · Supertest
(08) Experience

Where I've worked

  1. May 2023 — Present
    Current role

    Web Developer

    Symlink Technologies LLP, Kolkata

    Full stack web and mobile apps with React, Next.js, React Native, NestJS and Express. Schemas in MongoDB and PostgreSQL, Redis caching. Client products include Noam, Faith Life Social and Zuso.

  2. Mar — Jun 2023

    Application Developer (Intern)

    Helpy Moto

    App features in React Native and JavaScript — UI, API integration and testing.

  3. Nov 2022 — Apr 2023

    Web Developer Trainer

    M/S BRITECH

    Taught HTML, CSS, JavaScript, React and Node.js through hands-on projects and code reviews.

  4. Feb — Sep 2022

    Software Development Engineer I

    Logic Square Technologies

    MERN features in an Agile team, with Git-based workflows, code reviews and API integration.

(09) Stack

Tools I ship with every day

Frontend

  • React
  • Next.js
  • React Native
  • Vue.js
  • AngularJS
  • Tailwind CSS

Backend

  • Node.js
  • NestJS
  • Express.js
  • GraphQL
  • REST
  • WebSockets

Data

  • MongoDB
  • PostgreSQL
  • MySQL
  • Redis
  • Apache Kafka

Languages

  • TypeScript
  • JavaScript
  • Python
  • HTML5
  • CSS3

Tools & testing

  • Git
  • GitHub
  • GitLab
  • Jest
  • Supertest
  • Postman
  • Bruno

Cloud & DevOps

  • Docker
  • Kubernetes
  • AWS
  • DigitalOcean
  • Vercel
  • Render
  • MongoDB Atlas
  • Nginx
  • Sentry
  • Prometheus
  • Grafana
  • OpenTelemetry
  • PM2
(10) Contact

Got an idea?
Let's build it.

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.

How I work
  • Written scope and milestones before any work starts
  • NDA signed on request, before you share anything
  • You own the code once it's paid for
  • Proper invoices, and a bug-fix period after launch

Project & consultation request

Takes ~2 min
I'm looking for

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