Professional
Experience

• • Aixelink Sàrl
  • Software Engineer

  July, 2021 ~ Present

  Leading the Front-end team in developing highly complex web solutions for Critical Care environment of hospitals around the world. Working remotely with a cross-country team as a software engineer in the company’s enterprise solution. Mainly focusing on:

  • JavaScript technologies for Web (Front-end Team Lead)
  • .NET framework for hardware driver software development

  Experience Highlights:

  • Working as a team lead in an enterprise level software migration from WinForm solution to Web-based solution.
  • Developed real-time data visualization solutions with d3.js
  • Working on a multi-threaded Node.js application
  • Worked on a version upgrade migration of a product from Vue 2 (JavaScript) to Vue 3 (TypeScript)
  • Worked in a multi-framework front-end environment. Introduced state management and communication system for a jQuery application lying inside a Vue.js framework
  • Developed automation tools with Rust programming language that works as a log parser.
• • Mindfork Tech Ltd.
  • Mobile Application Developer (Remote)

  March, 2021 ~ June, 2021

  Developed React Native based cross platform mobile application.

• • ConnectAuz Pty Ltd.
  • Mobile Application Developer (Remote)
  • Part-time

  June, 2020 ~ September, 2020

  Worked on developing a cross-platform application with Flutter.

Education

• • Chittagong University of Engineering & Technology (CUET)
  • Bachelor of Science in Computer Science & Engineering

  2017 ~ 2021
  CGPA: 3.01/4.00

• • Notre Dame College
  • Higher Secondary Certificate (HSC)

  2015 ~ 2017
  GPA: 5.00/5.00

• • Chittagong Collegiate School
  • Secondary School Certificate (SSC)

  2009 ~ 2015
  GPA: 5.00/5.00

Open Source

• • muslim.nvim⭐ 34
  • Neovim Plugin · Lua

  December, 2025

  A Neovim plugin that calculates Muslim prayer times entirely offline using the Equation of Time and Sun Declination. Displays remaining time until the current waqt directly in the statusline via lualine integration. Supports multiple calculation methods (MWL, ISNA, Makkah, Karachi, etc.), Hanafi school adjustments, and higher latitude corrections.

Certification

• • Deep Learning Specialization
  • Coursera

  Issued: March, 2021

Achievements

• • Expert
  • codeforces.com
• • 5^th position, Inter University Programming Competition
  • CUET CSE Fest, 2019
• • 7^th position, Inter University Programming Competition
  • USTC Techtronics, 2019
• • 25^th position, Inter University Programming Competition
  • IUT 10th ICT Fest Programming Contest, 2019

Research

• • An Approach to Identify Associated People in Crowd Based on Image Association Rule Mining
  • Undergraduate Thesis

  2020 ~ 2021

  Introduces a system that can analyze video data in real time to provide prediction of groups of people in the crowd who are supposedly together with the help Association Rule Mining over video data.