Who I Am

i’m KAWCHER AHMED

KAWCHER AHMED

Lives In Dhaka

Hello There!

I am an enthusiast who is always passionate to learn new things. It can be technology,sport,any kind of challenge or a source of entertainment. I've finished my undergrad in Computer Science and Engineering from North south University, Bangladesh in 2019. I have worked as a Software Engineer in different companies, where I mostly developed Mobile Applications, specially Fintech Solutions. I have also worked in the backend part to develop APIs. Presently, I am working as a Associate Software Engineer at Apsis Solutions Limited.

Skype :
Phone : +8801843106943
Email : kawsar.ahmedd34@gmail.com
Github : https://www.github.com/Kawcher123
G. Scholar : https://scholar.google.com/citations?user=j7wGSZgAAAAJ&hl=en&oi=sra
Adresse : Dhaka,Bangladesh

  • App & Backend Development
  • Machine Learning
  • Fintech Solution Development

Employment

  • 01
    Associate Software Engineer

    Apsis Solution Ltd

    Responsibilities:

    Understanding software requirements. Developing mobile applications for both iOS & android using Flutter. Implement user interfaces (UI) and user experiences (UX) based on design specifications. Implement efficient state management solutions to handle app data and UI updates. Making flutter packages for the projects. Integrate mobile applications with backend APIs and services. Debug and fix issues reported by SQA, and optimize app performance. Optimize app performance, reduce loading times, and improve memory efficiency. Use version control systems to manage source code and collaborate with other developers. Developing APIs using NestJs. Deploying the app in Appstore and Playstore

    June 2022-Present

  • 02
    Mobile App Developer

    Virtual Market Solution Ltd.

    Responsibilities:

    Understanding project requirements. Developing mobile applications for both iOS & android using Flutter. Implement user interfaces (UI) and user experiences (UX) based on design specifications. Implement efficient state management solutions to handle app data and UI updates. Integrate mobile applications with backend APIs and services. Debug and fix issues, and optimize app performance. Optimize app performance, reduce loading times, and improve memory efficiency. Maintaining old projects Use version control systems to manage source code and collaborate with other developers. Deploying the app in Appstore and Playstore

    Feb 2021-May 2022

  • 03
    Software Developer(Remote)

    KCG Business Technologies Ltd (Trinidad & Tobago)

    Responsibilities:

    I have worked there to maintain and manage an in-house product. I was assigned to extend their business ideas. My task was to: directly communicating with the client and understanding their requirements, helping back-end developer to make APIs, implementing user interfaces (UI) and user experiences (UX) based on design specifications and client requirements, writing functionality based on client requirements, adding multiple business ideas (home service, e-shopping, QR scan for checking digital invoices), developing mobile applications for both iOS & android using Flutter, implementing efficient state management solutions to handle app data and UI updates, integrating mobile applications with backend APIs and services, finding & Fixing issues and optimize app performance, optimizing app performance, reducing loading times, and improving memory efficiency, developing APIs using Laravel, deploying the app in Appstore and Playstore

    Remote

  • 04
    Mobile App Developer

    PayStation

    Responsibilities:

    PayStation (a brand name under Service Hub Limited) is a Payment System Operator (PSO) Licensed by Bangladesh Bank the central Bank of Bangladesh, would like to be a robust and secured payment platform that aims to provide preferred experience for both business and customer. I have worked there to make multiple mobile application based on their requirements. I was assigned to implement three different mobile apps named, PayPlus Agent, PayPlust Merchant and Early Salary. My task was to: directly communicating with the owners of the company and understanding their requirements, implementing user interfaces (UI) and user experiences (UX) based on design specifications and client requirements, writing functionality based on their requirements, implementing efficient state management solutions to handle app data and UI updates, integrating mobile applications with backend APIs and services, finding & Fixing issues and optimize app performance, optimizing app performance, reducing loading times, and improving memory efficiency, making flutter packages for the projects, deploying the app in Playstore.

    Remote

Education

  • 01
    BSc. in Computer Science & Engineering

    North South University

    Session: 2015-2019

    Passing Year: August 2019

    Academic Projects:

        Final Year Project
        North South University (NSU)
        Title: AI-based Smart Eyeglass for Visually Impaired People
        Description : Assists visually impaired people to detect objects and yellow footway, to
        recognize face of the known people and to read any printed text from the image.
        Supervisor : Mirza Mohammad Lutfe Elahi

        Junior Design Project
        North South University (NSU)
        Title : Bus Service Automation System
        Description : Automatic Fare Collection and Bus Tracking System implemented by
        RFID card and GPS.
        Supervisor : Mirza Mohammad Lutfe Elahi

  • 02
    Higher Secondary School Certificate

    Ispahani Public School & College, Cumilla Cantonment

    Session: 2012-2014

    Passing Year: June 2014

  • 03
    Secondary School Certificate

    Munshirhat High School, Cumilla Bangladesh

    Session: 2011-2012

    Passing Year: June 2012

Portfolio

e-Cashbook
PayPlus Agent
PayPlus Merchant
Early Salary
My Runner
Bengal Meat
Service Call
WMO RIMS (Bangladesh Water Development Board)
AR NA (BRAC)
Community Megasin
Biponi
TripMate
TechHut
VMSL GROCERY SHOP
Team Positive Bangladesh - A Charity App
AI based Smart Eye Glass for Visually Impaired People Using Raspberry Pi
Bus tracker and RFID Payment System
Automatic Image Captioning in Bengali
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Publications

  •  
    Rice Leaf Disease Detection Using Machine Learning Techniques
    December, 2019 Kawcher Ahmed , Tasmia Rahman Shahidi, Syed Md. Irfanul Alam, Sifat Momen 166

    This paper presents a rice leaf disease detection system using machine learning approaches. Three of the most common rice plant diseases namely leaf smut, bacterial leaf blight and brown spot diseases are detected in this work. Clear images of affected rice leaves with white background were used as the input. After necessary pre-processing, the dataset was trained on with a range of different machine learning algorithms including that of KNN(K-Nearest Neighbour), J48(Decision Tree), Naive Bayes and Logistic Regression. Decision tree algorithm, after 10-fold cross validation, achieved an accuracy of over 97% when applied on the test dataset.

    Read More
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Skills

  • Flutter
  • Dart
  • Python
  • Nestjs
  • Laravel
  • Firebase
  • Google Map
  • Machine Learning
MORE SKILLS
  • Project Management 90%
  • Leadership 90%
  • English 85%
  • Communication 90%

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