Md Abul Kalam

Competitive Programmer Web Application Developer Mobile Application Developer

About ME

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Competitive Programmer

  • Divisional Champion, ACM ICPC Dhaka Regional 2015
  • Divisional Champion, UAP-NCPC 2016
  • Runner Up, CSE Carnival 2017 – Varendra inter University programming contest
  • Runner Up, RUET GYAN-JAM intra university programming Contest 2016
  • Excellent Performance of the year 2015 & 2016 from dept. of CSE, RUET

Web Application Developer

  • HTML5, CSS, Boostrap, JavaScript, Jquery, TypeScript, React, Angular 8
  • C++, C#, ASP.NET MVC5, ASP.NET Core 3, NodeJs, ExpresJs, Python, Visual Basic, PHP
  • SQL server, MySQL, PostgreSQL, MongoDB with mongoose
  • Software development with Agile methodology, Amazon Cloud Services (AWS)

Mobile Application Developer

  • Ionic 4, Capacitor, Angular 8, TypeScript, SnapJs (for SVG drawing)
  • C#, ASP.NET MVC5 for application API, ASP.NET Core 3 Web API
  • SQL server, Store Procedures
  • Hybrid application, both for Andriod & Ios
  • Software development with Agile methodology, Amazon S3

Work & Education


Join University

On April 2014, I began my university journey as a student of Computer Science and Engineering (CSE) in Rajshahi University Of Engineering and Technology (RUET), Bangladesh.


Start Competitive programming

From Jun 2014, i have entered the world of competitive programming and since then, been solving problems in different online judges and attending programming contests like ICPC, NCPC, IUPC.


Complete Graduations

On November 2018, I have completed my graduations securing 6th place with CGPA 3.84 out of 4.00.


Join Company

After BSC graduations, from December 2018, I have been with Enosis Solutions as a Software Engineer (full time) till current day.


Start Post Graduations

From May 2019, started my post graduations (CSE) as a part time student in Bangladesh University of Engineering & Technology (BUET).

Contest Profile

Programming Contests
Contest Name Team Name Rank
CSE Carnival 2017... RUET_lost_boys 2
RUET জ্ঞানJam 2016 RUET_WAWAWA_V_2_0 2
ICPC 2018 RUET_InferNo 28
BUET IUPC 2016 RUET_Recursive_Decimation 24
NCPC 2017 RUET_priliminary_failure 32
Online Judge Profiles
OJ Name Username Solve Count
UVA akazad133032 292+
LightOJ 19798 220+
Codeforces Mirror 416+
Hackerrank akazad_ruet13 45+
Devskill akazad_cse13_ruet 44+
Toph akazad.ruet13 52+
My Programming Contest Problems
Problem Title First Appearance Category Availabile At Tried Solved
Boro vai ... trt chai..!! Coding Contest 21 Math, Number Theory Devskill 221 59
Twin Coding Contest 14 Math, Combinations and Permutations Devskill 283 29
Friendly game - Basic Math Devskill 130 57
You Know Who?!!!!!! RUET জ্ঞানJam 2018 Matrix Exponential, Math Toph 10 03
Special Trt Comming Soon Number Theory, Moduler Arithmetic Devskill
Lord of the Rings Comming Soon Graph Theory Devskill

My Portfolio

limburg energy
Category: Responsive Web Design
Category: Responsive Wordpress Web Design
Tablet Store
Category: Angular and ASP.Net Core

My Research

Paper Title: Rotation Independent Digit Recognition in Sign Language
Authors Md. Abul Kalam, Md. Nazrul Islam Mondal, Boshir Ahmed
Conference 2019 International Conference on Electrical, Computer and Communication Engineering (ECCE), 7-9 February, 2019
Organized By Faculty of Electrical and Computer Engineering, Chittagong University of Engineering & Technology, Bangladesh
Publisher IEEE
DOI 10.1109/ECACE.2019.8679172
Abstract Usually deaf people use sign language to communicate with others. A large number of people including children have disabling hearing loss. In sign language, to indicate signs, hand gestures are used, however, hands can be rotated in any angle. There are few published research work to recognize digits in sign language. In this paper, we have proposed a 10 layers convolutional neural network model using residual learning to detect digits in sign language of any angle. We have collected 700 sign digit images from which we have prepared 7000 rotated images, rotating each image in arbitrary rotation 10 times. Using our proposed model, we have got 97.28% accuracy for 7000 rotated images. Our Proposed method improves accuracy by 10.57% than the latest research work.

Contact Me

My Phone


Email Address

My Location

TA- 206, South Badda,
Gulshan-1, Dhaka, Bangladesh