Hi! I am Syed

Professional
Experience

- Aixlienk Sarl
- Software Engineer
July, 2021 ~ Present
Leading the Front-end team in developing highly complelx 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 Windows-based solution to Web-based solution.
- 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 text 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

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

Certification

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 predic- tion of groups of people in the crowd who are supposedly together with the help Association Rule Mining over video data.