Email

siddik56u@gmail.com

Phone

+880 1879097422

Location

Chittagong, Bangladesh

Turning Financial Concepts into Code

– That’s My Craft.

Hi👋, Myself Mohammad Abu Bakkar Siddik! A Full-Stack Developer & Competitive Programmer crafting user-first modern web applications with a passion for AI integration. Always excited to explore new opportunities! Let’s chat about tech , AI , or your next big idea.🔥

B.Sc. in CSE

ICPC Asia Dhaka Regionalist 2023

Specialist in Codeforces

1700+ rating in Codechef

C

C++

Python

JavaScript

HTML5

CSS3

Tailwind

DaisyUI

Selenium

Node

Express

MongoDB

Convolution Neural Network

TensorFlow

Scikit-learn

Numpy

Pandas

Matplotlib

Git

GitHub

About Me

Passionate Full-Stack Developer and Competitive Programmer. I build modern web applications with AI integrations, blending development with algorithmic problem-solving. I’ve participated in 15+ national-level programming contests including ICPC Asia Dhaka Regional and contributed to impactful research projects like ASD detection.

Milestones

+1

YEARS OF EXPERIENCE

+5

PROJECTS COMPLETED

+3

Research Contribution

+200

Programming Contest

Education

Bachelor of Science in Computer Science & Engineering

CGPA: 3.82 out of 4

International Islamic University Chittagong

January 2021 – January 2025

Chittagong, Bangladesh

Experience

Teaching Assistant

Dept. of CSE, International Islamic University Chittagong

Courses: Competitive Programming 1 & 2

July 2024 – December 2024

Competitive Programming Bootcamp Mentor

Dept. of CSE, International Islamic University Chittagong

January 2022 – June 2022

COMPETITIVE PROGRAMMING

Programming Contest

Participated in 15+ national-level onsite programming contests and 150+ online programming contests.

Problem Solving

Solved 2000+ problems in various coding platforms, including Codeforces, Codechef, CSES, UVa, Leetcode etc.

Codeforces

Codechef

Leetcode

UVA

RESEARCH EXPERIENCES

Deep Learning Approach to Detect Autism Spectrum Disorder (ASD)

In this research, I developed a deep learning-based system to predict ASD in toddlers using facial images and behavioral features. An integrated dataset was created by merging two existing datasets based on gender and class. Trained several Convolutional Neural Network models, the top-performing model achieved an accuracy of 98.43%.

January 2025 – March 2025

ACHIEVEMENTS

International Collegiate Programming Contest(ICPC)

  • Qualified for and participated in International Collegiate Programming Contest (ICPC) Asia Dhaka Regional 2023 hosted by Bangladesh University of Business and Technology (BUBT).

    Inter University Programming Contest (IUPC)

  • 2nd Runner Up among 70 Teams in IIUC Inter University Programming Contest (IUPC) 2023.

  • 11th among 48 Teams in CU Inter University Programming Contest (IUPC) 2024.

  • 24th among 108 Teams in IUT Inter University Programming Contest (IUPC) 2024.

  • 25th among 70 Teams in PU Inter University Programming Contest (IUPC) 2024.

  • 43th among 160 Teams in KUET Inter University Programming Contest (IUPC) 2025.

  • Also participated in BUET IUPC, CUET IUPC, SUST IUPC, SEC IUPC.

    Intra University Programming Contest (IUPC)

  • 2nd Runner Up in IIUC Intra-University Programming Contest 2021 organized by IIUCCPS.

  • 2nd Runner Up in IIUC Intra-University Programming Contest 2023 organized by IIUCCPS

    Best Performer

  • Competitive Programming Bootcamp Spring 2022 hosted by IIUCCPS, IIUC

    Technical Skills

    A detailed showcase of my multidisciplinary technical skills across various domains.

    Programming Languages

    C

    C++

    Python

    JavaScript

    Frameworks & Libraries

    React

    Express.js

    Tailwind

    DaisyUI

    Backend Storage

    MongoDB

    Cloudinary

    Authentication & Hosting

    Firebase

    Vercel

    Web Technologies

    HTML5

    CSS3

    Version Control

    git

    github

    Machine Learning

    CNN

    TensorFlow

    sklearn

    Numpy

    Pandas

    Matplotlib

    Others

    Formspree

    Selenium

    latex

    Excel

    Word

    PowerPoint

    Projects

    Project Showcase—Where ideas meet execution.

    HireNest

    –A Job Portal Platform

    HireNest: A modern job portal where recruiters can post vacancies and job seekers can browse, filter, and apply for job through a clean, responsive UI built with React + TailwindCSS. The platform includes secure Firebase authentication, real-time job posting, and Cloudinary-powered image/PDF uploads. Fully deployed and optimized with an Express.js backend and MongoDB database for a smooth, fast, end-to-end hiring experience.

    Bean & Leaf

    –Coffee Shop Platform

    A full-stack coffee management platform featuring secure authentication, admin-only access controls, dynamic product listing, data CRUD operations, responsive design and message feature for user communication. ReactJs, ExpressJs, MongoDB, Firebase, Formspree, Tailwind, DaisyUI etc are used to developed the platform.

    The Bangladesh Times

    –News Platform

    The Bangladesh Times - a modern news platform built with React, Context API, Route and Tailwind CSS, featuring real user authentication with secure login & signup verification. It offers dynamic news categories, social sharing, responsive design for smooth browsing and personalized content delivery for an engaging reading experience.

    PortFolio

    –Mohammad Abu Bakkar Siddik

    My portfolio website highlights my skills, projects, and experience as a developer. It reflects my personal brand and helps connect with clients, employers, and tech communities. The site is fully responsive, interactive, and built with modern web technologies.

    Payooo

    –Mobile Financial Services

    A user-friendly mobile platform offering seamless transactions, bill payments, and cashout services with minimal fees. Designed for convenience, featuring real-time payment tracking and bonus incentives. Built to simplify everyday financial tasks with intuitive navigation.

    Contact Me

    Feel free to contact me if you have any questions - I'd love to hear from you!

    Name

    Email