So, here's the scoop on how this website came to life:
I started with a template from uicookies as my canvas and transformed it to align with my vision. The HTML and CSS code underwent significant modifications to match my preferences and what I like.
To add specific elements and enhance user interactions, I used Bootstrap and jQuery. This allowed me to create a visually engaging UI/UX.
Powered by Django V4.2 and Python, the backend ensures data processing and content administration.
I used the integrated python library smtplib to automatically send a personalized email to my personal account to notify me about new newsletter subscribers or new messages from the contact me page that was also stored in a mysql database.
Originally hosted on Heroku, I later transformed the website into a static version to take advantage of the free web hosting provided by GitHub Pages.
Throughout the development process, I used PyCharm for its seamless version control integration and powerful backend support, making it easier to manage and organize the project.
I created this website to showcase my work experience, projects, and skills as an AI engineer. While LinkedIn and other professional networks serve this purpose, I felt a personal website would offer more flexibility and allow me to provide clearer descriptions of my projects. Itβs also, in my opinion, a great way to stand out from the crowd and demonstrate that I can build solutions beyond my core field of expertise.
HTML\CSS | JavaScript | Bootstrap | JQuery
GitHub Pages
git & GitHub
Pycharm
Predictive Modeling | Web Development
A web application that uses predictive models to evaluate the risk for various diseases. Users input their health information, and they get personalized risk assessments and lifestyle recommendations to improve their health.
These are some of my featured projects. To explore additional projects not listed here, visit my GitHub profile.