Md. Shourov (known online as Shourov735) is a Software Engineering undergraduate student at the Institute of Information Technology (IIT), University of Dhaka (BSSE program), and the IT Secretary at Nabodigonto Social Welfare Organization.

What degree and university is Md. Shourov affiliated with?

Md. Shourov is pursuing a Bachelor of Science in Software Engineering (BSSE, 2024–Present) at the Institute of Information Technology (IIT), University of Dhaka (IIT DU) in Bangladesh.

What is Md. Shourov's flagship software engineering project?

His flagship production system is Nabodigonto, a 100,000+ LOC edge-native distributed monorepo and community platform on Cloudflare Workers, featuring fault-isolated services, atomic D1 batching, and serverless Bengali PDF generation.

What is Md. Shourov's problem-solving and competitive programming track record?

Md. Shourov has solved 150+ competitive programming problems across Codeforces and LeetCode, with strong foundations in algorithms, data structures, and GoF design patterns.

What engineering roles am I currently targeting?

I am actively seeking Software Engineering internships and Junior/Associate Software Engineer roles focusing on full-stack web engineering, edge computing (Cloudflare Workers/Serverless), backend architecture, and offline-first applications.

How do I balance BSSE coursework at IIT DU with shipping production systems?

Software Engineering coursework at IIT, University of Dhaka provides rigorous fundamentals—data structures, algorithms, database systems, design patterns, and concurrency. I apply these academic principles directly to production architectures like Nabodigonto and InsideJibon, creating a reinforcing loop between theory and high-craft implementation.

What does my typical architecture stack look like for edge and backend systems?

For edge and modern web platforms, I leverage Next.js 16 App Router, TypeScript, Cloudflare Workers, Durable Objects, and PostgreSQL (Neon/D1) paired with Drizzle or Prisma. For performance and desktop systems, I build in modern C++ and Java with SQLite and Maven.

What is my problem-solving and competitive programming track record?

I have solved 150+ competitive programming problems across Codeforces and LeetCode, with primary focus on graph algorithms, dynamic programming, number theory, and GoF design patterns.

How can engineering teams reach me for opportunities?

Recruiters and engineering leads can reach me directly by email at mdshourov735@gmail.com, connect on LinkedIn (linkedin.com/in/md-shourov-613934358), or review my code on GitHub (github.com/Shourov735).

MobileEngineering Case Study

Quran Reading Tracker

An offline-first Android mobile application built with React Native and Expo to cultivate and track daily Quran reading habits with complete privacy and local data persistence.

Offline-First Mobile Architecture

Role & ScopeMobile Developer

Target DomainMobile · Production

Core RuntimeReact Native, Expo, TypeScript

Operational & Architectural Invariants:

100% offline local privacyZero network telemetry or adsTimezone-resilient streak engine

GitHub

The Problem

Existing Quran tracking apps frequently require cloud logins, display intrusive advertisements, and bundle third-party analytics trackers that compromise user privacy.

Technical Approach

Engineered an offline-first mobile app using React Native, TypeScript, and Expo. State and daily progress are serialized directly to local AsyncStorage with zero network requests.

Offline-First Dual Pipeline Architecture

[Step 1]Recitation Pipeline: Surah Index + Ruku Progress ──┐

[Step 2]Translation Pipeline: Surah Index + Ayat Tracker ──┼──> Local AsyncStorage Engine

[Step 3]Streak Engine: Daily Habit & Milestone Calculator ──┘

[Step 4]Privacy Guarantee: Zero network requests, zero telemetry, local persistence

Local data pipeline: Recitation and translation tracking decoupled with AsyncStorage persistence.

Key Highlights & Architecture

Dual independent tracking pipelines: Arabic recitation (Surah + Ruku) and Bangla translation (Surah + Ayat)
100% offline-first privacy with zero trackers, zero cloud dependencies, and local AsyncStorage persistence
Daily streak calculators, reading target meters, and smooth dark-mode UI with Islamic aesthetics
Automated build workflow via Expo EAS for Android APK distribution

Engineering Challenges

Decoupling the distinct progress systems for Arabic recitation (measured in Rukus) and Bengali translation (measured in individual Ayats).
Calculating uninterrupted reading streaks and habit velocity accurately across arbitrary timezone adjustments.

Key Engineering Decisions

Zero-Network Architecture: No server backend, no authentication wall, and no telemetry SDKs — guaranteeing user privacy.
Optimistic Local State: UI updates immediately upon completion with asynchronous disk persistence.

Architecture Decision Records (ADRs)

Trade-Off Analysis & Architectural Rationale

✓

Decision Made

Dual Decoupled Pipelines (Ruku Recitation vs. Ayat Translation)

Alternative Rejected

Single monolithic page counter

Why It Won (Technical Rationale)

Separates Arabic recitation targets from Bengali translation comprehension naturally.

Trade-Off Accepted

Requires dual state stores and separate streak milestone tracking.

Result & Outcome

Shipped a clean, lightweight Android application with daily habit tracking, streak preservation, and complete offline autonomy.

Technologies & Tools

React NativeExpoTypeScriptMobileOffline-FirstAsyncStorage

GitHub ← All Projects