// Welcome to my Portfolio

const name = "Imranul Islam Shihab";

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Focusing on **algorithms**, **competitive programming**, and **data-driven software** to build scalable and high-impact solutions. Currently studying Software Engineering at DIU.

View Projects() ContactMe()

About.js

// Goal: Maximize Problem-Solving Efficiency

I am a dedicated Software Engineering student driven by a core interest in **algorithmic complexity** and **data science**. My development philosophy centers on creating efficient, maintainable, and robust software, heavily influenced by rigorous competitive programming practice on platforms like Codeforces and AtCoder (handle: `imransihab0`).

I actively engage in **mentoring** and collaborative technical work, seeking opportunities to bridge theoretical understanding with practical application. I'm currently expanding my stack in **Machine Learning (TensorFlow/PyTorch)** to pivot towards high-impact AI research.

// Next: Explore my core competencies

Skills.cpp

Languages


                        .C++ (Competitive)
                        .Python (Data/ML)
                        .Java
                        .JavaScript

Algorithms


                        .DSA: Mastered
                        .Competitive Programming
                        .Data Science/Analysis
                        .Complexity Analysis

Frameworks


                        .Django/Flask
                        .TensorFlow/PyTorch
                        .Git/GitHub
                        .Software Patterns

Triumphs


                        .DIU BreakOut (2nd Place)
                        .CodeTrap (Problem Setter)
                        .ICPC Prelim (Participant)
                        .Lead Trainer (Logic Dev)

Projects.java

MBTI Personality App

A cross-platform mobile application that accurately determines a user's MBTI personality profile based on input, focusing on user experience and algorithmic logic.


                        Tech: Dart, C++, Swift

> Repository.view()

AutoDataOne

A web application designed for automating data organization, sorting, and processing, significantly enhancing data handling efficiency for small-scale datasets.


                        Tech: HTML (54.9%), JavaScript (45.1%)

> LiveSite.open()

Roadmap.sh

Phase 1: Maximize Efficiency

// Focus: Algorithm Mastery, AI/ML Portfolio Building, Competitive Ranking.

Phase 2: Professional Integration

// Goal: Secure SE/Data Scientist Role, Prepare for International Graduate Studies (GRE/IELTS).

Phase 3: Research & Innovation

// Target: Pursue MSc/PhD, Contribute to bleeding-edge research in AI and Data-Driven Systems.