MD. ABU TALHA

About Me

I'm highly enthusiastic about new technology and passionate web developer with a strong background in Information Technology, design and development. Looking for a career to show the best of my professional ability analytic skills and techniques to enhance my knowledge as well as contribute to my organization to the best of my potential.

Responsive Design
  • Current Position Software Engineer at Smarter AI DMCC
  • Nationality Bangladeshi
  • Current Address Dubai, United Arab Emirates
  • E-mail talhaqc@gmail.com
  • Skype talha-sust
  • Phone UAE: +971 0522735394
  • Freelance Available

Education

Bachelor of Science (BSc in Engineering) with Computer Science & Engineering

2013 - 2017 Shahjalal University of Science and Technology, Sylhet

4 years Engineering course on Computer Science at one of the best University of Bangladesh.

Higher Secondary School Certificate

2010 - 2012 Kurigram Government College, Kurigram

This is 2 years Course. Gainged GPA 5.00 out of 5.00 with Science Faculty.

Secondary School Certificate

2010 Kurigram Government High School, Kurigram

This is secondary school certificate course. Gainged GPA 5.00 out of 5.00 with Science Faculty.

Experience

Software Engineer

Jan 2019 - Current Vivasoft Limited

Working with a full-stack programmatic ad platform and marketplace designed specifically to deliver branding campaigns on mobile named SUMMIT.

Software Engineer

Oct 2018 - Jan 2019 InfancyIT (Bangladesh)

Worked with a integrating product and schedule management system.

Junior Software Engineer

Oct 2017 - Oct 2018 InfancyIT (Bangladesh)

Here I worked in a food ordering and delivery system(KFC/Buerger King) and many others system with my full-stack skills.

Junior Software Engineer

Oct 2015 - Oct 2017 InfancyIT (Bangladesh)

Worked as a Backend Developer and done many large and small scale projects.

Development Skills

ReactJs/h4>

VueJs

Laravel

Node(Express-Js)

AngularJS

Database Skills

MySQL

NoSQL/MongoDB

SQLite

Deployment Skills

Apache Server

Ngnix Server

Azure

Google Cloud

Digital Ocean

Language Proficiency

Bengali

English

My Services

Responsive Design

Frontend Development

Frontend Development with Vuejs, Angularjs, React ...

Photography

Backend Development

Backend Development with Laravel, ExpressJs ...

Creativity

Database Administration

Manage Database with MySQL,MongoDB ...

Advetising

Project Deployment

Digital Ocean, Azure, Google Cloud Server ...

Worked With

Testimonials

Publications

CrowdsouRS: A crowdsourced reputation system for identifying deceptive online contents

22-24 Dec. 2017 2017 20th International Conference of Computer and Information Technology (ICCIT) https://ieeexplore.ieee.org/document/8281829 Masiur Rahman Siddiki ; Md. Abu Talha ; Farida Chowdhury ; Md Sadek Ferdous

In recent years, accelerated web-based technologies have revolutionized content generation and broadcast mecha-nisms through the Internet. Social media, blogs, e-newspaper, auction sites facilitate the creation and exchange of user-generated contents, which rarely go through any fact-finding mechanism or rigorous editorial process. This has fuelled the creation and publication of fake news in the web. The proliferation of social networks has been exploited to accelerate the distribution and propagation of such fake news at an unprecedented level, creating a major concern for the web. There have been several efforts undertaken to rectify this problem, unfortunately, none seems to be effective to root out this concerning issue. In this paper, we present CrowdsouRS, a Crowd-sourced Reputation System, implemented as a browser extension, for the web that leverages the wisdom of the crowd to identify and tag deceptive online contents. It aggregates reputation scores for a web page from multiple users, which is then visualized in order to help other users to determine if the contents of the web page are deceptive. We have evaluated the usability and effectiveness of CrowdsouRS with a number of users and our evaluations suggest that users find the tool useful in serving its purpose.

Research

Predict Women Condition in Bangladesh through Bangla Newspaper

2016 Md.Abu Talha, Masiur Rahman Siddiki, Saiful Islam

This study attempts to show how women are represented in the newspaper and the main Challenges of Women Empowerment in Bangladesh. The study is based on analysis of newspaper data which are related to women only. Some graphs were generated illustrating the percentage of good news and bad news such as rape case, murder, domestic violence, etc. using the application. For example, murder case story holds the highest position in a graph which is immediately followed by rape case news. This outcome will help understand overall situation of women in Bangladesh presented in the newspaper in many ways like month-wise situation, division-wise situation, etc.

- Highly enthusiastic about new technology.

- Ability to learn quickly coupled with innovative ideas for problem solving.

- Ability to work in a team with strong communication skills.

- Working with both Backend and Frontend sections.

- Strong knowledge about different Database .

- Hardworking and sincere towards work with an ability to take directions.

Get in Touch

Dubai, United Arab Emirates
talhaqc@gmail.com
+971 0522735394
Freelance Available

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