Ariful Islam, Msc
Toronto,ON
Summary
I am a highly experienced Research and Development Engineer with a strong background in problem solving, solution research, and application development. Proficient in Python, Java, C++, and C#, I specialize in data science, statistics, and machine learning, with expertise in scalable and structural solutions. Experienced in CI/CD tools like Jenkins and well-versed in RDBMS and SQL, I am motivated to contribute my skills and experience to a challenging position in a collaborative environment, aiming to enhance the success of an organization.
Overview
5
5
years of professional experience
1
1
Certification
Work History
Software Design and Development Engineer
https://www.yuja.com/
, Toronto
09.2022 - 07.2023
- Developed multiple headline features for the in-house developed product Yuja Education Video Platform (EVP), a widely used educational tool by 100+ universities in USA and Canada
- Performed research and implemented improved video streaming technology, and smarter video conferencing utilizing updated libraries such as Media Foundation, and DirectShow written in C++
- Conducted thorough research and Developed an embedded C++ project at Yuja, where I successfully applied machine learning techniques to process streaming video data
- This innovation significantly improved the efficiency and functionality of video data handling, contributing to enhanced user experiences and system performance
- Designed and developed the new multi-screen feature for the YuJa Screen Capture (YSC), a desktop application that captures multiple lecture notes and student performances and meets the university's requirements as well as optimizing the existing product architecture
- Hands-on experience in leveraging REST APIs within multiple streaming projects.
AI/ ML Associate Research Engineer
https://projects.cs.dal.ca/pinet/index.html
Dalhousie University, Halifax
09.2019 - 04.2022
- Worked and trained under the supervision of Dr.Israat Haque, Professor, Computer Science, Dalhousie University
- Incorporated explanatory data analysis, data visualization, and time-series analysis in the proposed research and achieved significant improvement over other related solutions
- Performed extensive research and developed a predictive analytics solution for cellular network RF using deep learning technologies (i.e., PCA, LSTM, Autoencoder)
- Developed scripts that perform continuous predictive security analysis for the sections of large-scale industrial computer labs in Los Angeles, California
- Conducted through research and developed a security measure for the organizational computer research lab using deep learning technologies (ConV NN, PCA, IF).
Software Engineer (Python)
https://nrc.canada.ca/en
Halifax, National Research Council
01.2020 - 12.2020
- Conducted full life-cycle web application development (Agile) in frameworks like Django
- Leveraged Django's built-in features and third-party libraries to streamline development processes and enhance the functionality of web applications
- Spearheaded the development of a modern and responsive user interface using React at NRC, enhancing user interactions and overall system functionality
- Implemented RESTful APIs, ensuring smooth data exchange and efficient communication between web applications and external services.
Application Developer - Python
https://naztech.io/
Dhaka, Bangladesh
01.2018 - 07.2019
- Collaborated in the development of a React application seamlessly integrated with a Django backend system at Nazdaq, contributing to the creation of a modern and responsive user interface for improved user interactions and overall system functionality
- Played a key role in integrating Amazon Web Services (AWS) into the company's software ecosystem, ensuring efficient deployment and scalability of applications and services
- Demonstrated strong Unix/Linux knowledge for effective system administration, scripting, and server management, contributing to the stability and reliability of software systems.
Education
Master of Applied Science in Computer Science ( Research Based Program) -
Dalhousie University
04.2022
Skills
- Programming Languages: Python, Java, C, C#, Javascript and (HTML5, Css, Sass)
- Frameworks: Django, Pyramid, Spring, React
- Architecture and Stacks: Microservices, MVC, n-tier, MVVM, MEAN, MERN
- Cloud Services: Strong knowledge and utilization of cloud services, including Amazon Web Services and Google Cloud Platform
- CI/CD Tools: Familiarity in using Jenkins for implementing robust CI/CD pipelines
- RDBMS and Databases: Expertise in relational databases, MySQL, Tomcat, MongoDB, PL/ SQLs and similar efficient data management techniques
- Source Control Tools: Proficient in using Git for version control as well as maven, gradle for source control and collaborative development
- Linux/Unix Environment: Strong operational experience in Linux/Unix environments and scripting languages such as Shell scripting, Python, and Groovy
- Development Methodologies: Agile Development, JIRA, SDLC
Affiliations
- Publication: A Deep Neural Network-based Communication Failure Prediction Scheme in 5G RAN. DOI:10.1109/TNSM.2022.3229658
Certification
- Advanced Python and Django development course, CISCO. (120 hours).
- Modern Javascripts : ES6, Coursera. (40 hours).
- AWS Fundamentals Specialization, Coursera. (40 hours).
- Getting started with JIRA, Coursera. (10 hours).
Languages
English
Full Professional
Hindi
Professional
Bengali
Native/ Bilingual
Timeline
Software Design and Development Engineer
https://www.yuja.com/
09.2022 - 07.2023
Software Engineer (Python)
https://nrc.canada.ca/en
01.2020 - 12.2020
AI/ ML Associate Research Engineer
https://projects.cs.dal.ca/pinet/index.html
09.2019 - 04.2022
Application Developer - Python
https://naztech.io/
01.2018 - 07.2019
Master of Applied Science in Computer Science ( Research Based Program) -
Dalhousie University
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