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Anweshan.dev

A portfolio engineered like a product: recruiter-friendly on the surface, technically credible underneath.

Live site: anweshan.cv

What This Is

This repository powers the personal website of Anweshan Roy Chowdhury. It is designed to do two jobs well:

  • Give recruiters and hiring managers a fast, high-signal summary of engineering leadership, architecture range, and product impact.
  • Give developers a real codebase to inspect, with production-minded frontend architecture, Firebase integration, AI features, analytics, and legal/compliance considerations.

It is not a static resume page. It is a deployable React application with interactive UI, structured portfolio content, Firestore-backed contact workflows, and an AI assistant powered by Firebase AI SDK with Google Gemini.

If You're A Recruiter

This project is intended to communicate the following quickly:

  • Engineering leadership, not just implementation skill.
  • Comfort across frontend, mobile, cloud, AI, and platform integration.
  • Ability to turn personal branding into a polished, working product.
  • Attention to production concerns such as analytics, security controls, legal policies, and deployment.

The site content highlights experience across:

  • AI-driven product development
  • SaaS platform architecture
  • Mobile engineering
  • Cloud optimization
  • IoT and BLE integrations
  • Enterprise logistics and operations software
  • Technical leadership and team-building

If You're A Developer

This repo is worth a look if you care about:

  • React 19 + TypeScript + Vite architecture
  • Tailwind CSS 4 styling with strong visual identity
  • Route-based lazy loading
  • Firebase Hosting, Firestore, Analytics, App Check, and AI SDK integration
  • Client-side AI chat UX backed by Google Gemini
  • Service worker generation with Workbox
  • Balancing product polish with practical deployment constraints

Product Highlights

  • Built with React 19, TypeScript, Vite, and Tailwind CSS 4.
  • Uses route-based lazy loading for portfolio sections and legal pages.
  • Includes an AI chatbot that answers questions about experience and projects using Firebase AI SDK and Google Gemini.
  • Stores contact submissions in Firestore.
  • Uses Firebase App Check with reCAPTCHA Enterprise.
  • Tracks page views and user interactions with Google Analytics.
  • Ships with a service worker via Workbox for production readiness.
  • Includes Terms of Service and Privacy/Cookie Policy pages with AI-processing disclosures.
  • Runs as a real Firebase-hosted SPA, not a mock portfolio shell.

Design Direction

This portfolio is intentionally opinionated.

  • Bold typography using Montserrat and Inter.
  • Motion-driven UI with Motion.
  • Interactive visual elements using Three.js / React Three Fiber.
  • Compact legal navigation in both navbar and footer.
  • Portfolio storytelling that emphasizes delivery impact, systems thinking, and technical range.

Core Product Areas

Portfolio Pages

The app includes focused sections for:

  • Home
  • Experience
  • Projects
  • Leadership
  • Awards
  • Contact
  • Terms of Service
  • Privacy Policy

AI Assistant

The chatbot adds a conversational interface on top of the portfolio.

  • Implemented in the client using Firebase AI SDK.
  • Uses a server-configured template with Google Gemini.
  • Helps visitors explore projects, background, and technical capabilities.
  • Covered by policy language describing AI-based parsing and third-party processing.

Contact Flow

The contact experience is functional, not decorative.

  • Captures name, email, subject, and message.
  • Persists submissions to Firestore.
  • Protected with Firebase App Check and reCAPTCHA Enterprise.

Tech Stack

Frontend

  • React 19
  • TypeScript
  • Vite 8
  • Tailwind CSS 4
  • React Router 7
  • Motion
  • Lucide React

Visual / Interactive

  • Three.js
  • React Three Fiber
  • Drei

Backend / Platform

  • Firebase Hosting
  • Firestore
  • Firebase Analytics
  • Firebase App Check
  • Firebase AI SDK
  • Firebase Functions scaffold

AI

  • Google Gemini via Firebase AI SDK

Tooling

  • ESLint
  • TypeScript project references
  • Workbox
  • pnpm

Architecture Notes

The architecture keeps the frontend lean while still integrating real platform services.

  • The site is a client-rendered SPA with Firebase Hosting rewrites to index.html.
  • Firestore is used directly from the client for contact capture.
  • Analytics is loaded safely in the browser and page views are tracked on route changes.
  • App Check is initialized in the browser using ReCaptchaEnterpriseProvider.
  • The AI assistant uses getTemplateGenerativeModel through Firebase AI.
  • A minimal Firebase Functions project exists and is ready for backend expansion.
  • In development, Firestore points to the local emulator.

Why This Repo Is Useful To Review

For a recruiter, this repo shows how technical identity is translated into product form.

For a developer, it shows a compact example of a modern portfolio that still addresses:

  • app structure
  • deployment
  • analytics
  • AI integration
  • abuse protection
  • legal disclosure
  • real data persistence

Project Structure

src/
	components/
		contact/
			AIChat.tsx
		home/
			Hero3D.tsx
		layout/
			Footer.tsx
			MainLayout.tsx
			Navbar.tsx
			SEO.tsx
	hooks/
		useAnalytics.ts
		useScrollToTop.ts
	lib/
		firebase.ts
	pages/
		Home.tsx
		Experience.tsx
		Projects.tsx
		Leadership.tsx
		Awards.tsx
		Contact.tsx
		TermsOfService.tsx
		PrivacyPolicy.tsx
	data.ts
	App.tsx
functions/
	src/
		index.ts

Local Development

Prerequisites

  • Node.js 20+
  • pnpm
  • Firebase project credentials

Install

pnpm install

Run the app

pnpm dev

Build for production

pnpm build

Preview production build

pnpm preview

Lint

pnpm lint

Environment Variables

The frontend expects Firebase configuration through Vite environment variables.

VITE_FIREBASE_API_KEY=
VITE_FIREBASE_AUTH_DOMAIN=
VITE_FIREBASE_PROJECT_ID=
VITE_FIREBASE_STORAGE_BUCKET=
VITE_FIREBASE_MESSAGING_SENDER_ID=
VITE_FIREBASE_APP_ID=
VITE_FIREBASE_MEASUREMENT_ID=
VITE_RECAPTCHA_ENTERPRISE_KEY=

Deployment Model

This project is configured for Firebase deployment.

  • Static assets are built into build/.
  • Firebase Hosting serves the SPA.
  • Hosting rewrites all routes to index.html.
  • Workbox injects the service worker during postbuild.
  • Firebase emulators are configured for local development.

Showcase Themes

The content and implementation emphasize a specific developer brand:

  • Engineering leadership over isolated code samples.
  • Architecture thinking over surface-level UI polish.
  • AI product integration with practical delivery constraints.
  • Production-minded frontend engineering.
  • Modern cloud-native tooling with a lightweight deployment story.

Legal & Compliance

The project includes:

  • Terms of Service
  • Privacy Policy
  • Cookie Policy language
  • AI-processing disclosures for the chatbot
  • Google Analytics and reCAPTCHA disclosures

Why This Repo Exists

This repository demonstrates that a personal site can be treated like a serious software product.

It is a portfolio, but it is also a statement about engineering taste, implementation range, and execution discipline.

Author

Anweshan Roy Chowdhury

About

Anweshan Roy Chowdhury personal site

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