about me
Hi, I am Hasanur. I am a recent graduate in Computer Science who is looking for a software engineering role.
I was actually pursuing a career in architecture but before I begun my degree in it I felt my passion for it was waning, with not many other options at the time and
starting with no expectations, at the last minute I enrolled in a foundation year in data science.
But to my surprise, I soon found myself captivated with the world of Computer Science
and begun exploring the different branches of the field.
I was first interested in deep learning, with a focus on computer vision applications in robotics. Something that lasted quite a while actually, to the point a career in the AI field seemed a no brainer
back then. But as my studies progressed I was exposed to other fields and later came to enjoy the more traditional software engineering, with the back end being my main focus.
projects
Alleno-ora
I wanted to actually have access to my workout information without having to rely
on a 3rd party app. So I made a CLI tool that helps me quickly create and manage workout data, it's written in C++.
I use a SQLite database to store that information, making it easy to do data analysis on it for any metrics you wish to monitor.
(Currently the CLI tool does not have this data analysis functions built in, but it is planned to be added in the future)
There is also a previous version I made as a TUI in C using the Ncurses library.
Trova-Git
We all start projects with a burning passion but then forget about them, this is a CLI tool written in C that will search a directory you can specify for Git repos and show the git status for repos with uncommitted changes.
CNN potato image classifier
A CNN model made to solve a binary classification problem, I used Tensorflow for this, the model will predict if an image is a potato or not (I love potatoes). The data was gathered by scraping the web for images of potatoes and vegetables for images as not being potatoes.
Yelp reviews sentiment analyser
This is a NLP app that will do sentiment analysis on yelp reviews that have been scraped from their site. I used a pretrained BERT model that was finetuned on product reviews data.
get my cv
Let's connect here :)