About Me
What I Do ?
I have worked as a full-stack developer for six years, postgraduate majoring in computer science, fast learner, dependable and responsive person, and I have a strong passion for building clean and interactive UI and elegant styling.
I also have strong experience producing Flask Web Apps using Blueprints for building modular applications like middleware systems, auth systems, and REST API (microservices architecture) using Application Factories pattern on WSGI (Apache) or Gunicorn (Nginx). I also have experience implementing a CI/CD automation pipeline with Github. I have used a Flask to deliver the data or deep learning computer vision model into an accessible API (i also use FastAPI for building an API).
I usually use Vue.js, Vuex, Vue Router for the javascript framework and TailwindCSS, Bootstrap, or Semantic-UI for the CSS framework that helps create beautiful reactive and responsive layouts.
I have worked on native iOS (Swift) and Android (Java/Kotlin) development projects.
I also have experience in the data scraping task, and I use BeautifulSoup4, urllib3, and Pandas to extract data from a website source.
Configuring and managing the UNIX server is a must to master. I have some professional experience building and configuring UNIX servers. I configured it from scratch. I configured server applications such as Apache or Nginx, MariaDB, PostgreSQL, Bind9 DNS Server, Postfix SMTP server, Dovecot POP3 Server, to a private mail server specific to an organization.
Publications
I also have some research which I have poured through scientific papers specifically in the field of deep learning computer vision. You can see all of my publications through the following Google Scholar and ResearchGate accounts.
You can direct read my scientific paper here:
- Instance-Aware Semantic Segmentation for Food Calorie Estimation using Mask R-CNN (IEEE | ResearchGate)
- Comparison of Supervised Learning Image Classification Algorithms for Food and Non-Food Objects (IEEE | ResearchGate)
