Mohammad Mushfequr Rahman
(647) 892 9572 ยท mohammadmushfequr.rahman@ontariotechu.net
I am a student in Computer Science who is passionate about Mobile Application Development, Backend Development, and Machine Learning
Experience
Software Developer Coop
OPG
Contributed to existing javascript codebase and created and analysed complex SQL quries.
May 2019 - Present
Computer Vision Research Assistant
Vc Lab
Investigated machine learning and deep learning techniques to fulfill Computer Vision tasks such as crowd counting, Image Classification and Object Detection and tracking. Created custom machine learning models that reached 90% testing accuracy.
May 2019 - Present
Computer Lab Linux Support
Ontario Tech University
Debugged different Linux distributions using bash scripts and provided technical support to various stakeholders
September 2018 - April 2019
Software Engineer Intern
Bashundhara Group
Designed android applications using Java and Android SDK. Modified existing codebases such that they could track employess dynamically. Implemented and troubleshot web scraper APIs that were build in collaboration with senior engineers.
May 2018 - August 2018
Education
Ontario Tech University
Bachelor of Science
Computer Science - Data Science Specialization
GPA: 3.87
September 2017 - Present
North South University
Bachelor of Science
Computer Science and Engineering
GPA: 3.6
August 2015 - August 2017
Skills
Programming Languages
- Python
- C/C++
- Java
- Dart
- Clojure
- Javascript
Mobile Development
- Android SDK
- Flutter
- Swift and Xcode (iOS)
Machine Learning
- Sklearn
- Pytorch
- Keras
Web Development
- Node Js
- Vue JS
- d3
- HTML 5, CSS and Javascript
- Pug
Databases
- MongoDB
- SQLite
- MySQL
- PostgreSQL
Projects
Few Shot Image Classification
Character Classification on the Omniglot dataset which consists of over 900 symbols from over 50 languages. Used Few Shot learning techniques to reach over 90% accuracy from only one/five training images.
Code
LoveL text Classification
A web application to classify your LoveL using an AI text classifier that was portotyped in python and runs on the browser with tensorflow js
Code
World Happiness Analysis
An indepth analysis into the 2015 happiness dataset. We analysed key attributes about the data set and created custom random forest models that predicted the happiness score for different countries and reached 94.2% testing accuracy
Code
Chats App
A custom chatting application inspired by whatapp built using Java. It has a custom backend server capable of handling multiple clients and a front end built using JavaFx and CSS.
Code
Towards Real Time MOT
An experiment in running the Towards Real Time MOT paper to train on our custom dataset and evaluate application of the network in real life scenarios.
News Detector
An android application that is capable of taking a picture and analyzing it to get the most relevant information and display related news articles and videos.
Code
NoteTakR
NoteTakR is a crossplatform mobile application built using dart and flutter and has several unqiue features such as assignment tracking and custom voice to text recording.
Code
Fifa 2018 Schedule
Fifa 2018 Schedule is a mobile application built using Java and Android SDK. It features a unqiue UI and a user authntification system with facebook integration.
Code