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Hello!

I'm Iqbal

'Rakyat biasa' continuously diving deep on software engineering field.

Years of learning

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Projects completed

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Where It All Begin

A bunch of my stories and milestones in IT field

  1. The Beginning

    The Beginning

    It all started with the fear of being left behind when I was about to enter college. I had little knowledge about the field I had chosen, and I thought that everyone had at least started exploring this 'world' back in high school. Later, I bought some e-book tutorials on HTML and CSS and started grinding.

  2. Entering Informatics Major

    Entering Informatics Major

    I started studying Informatics at the Faculty of Computer Science, Universitas Amikom Yogyakarta. The classes gave me a solid foundation as a beginner, while also making me realize how much more there was to explore. I spent my first year mostly adapting to college life, meeting new people, and building my technical foundation.

  3. Second year in Informatics Major

    Second year in Informatics Major

    My second year was a period of 'friendship peak moments' that gave meaningful experiences outside the classroom. I spent a lot of time with friends, traveled to different places, and built relationships that became an unforgettable part of my college journey. While I wasn't as focused on technical growth during this period, these experiences taught me the importance of balance and made my college years more memorable.

  4. Third year in Informatics Major

    Third year in Informatics Major

    At this point, I suddenly 'woke up' and started to lock in. I explored various areas of software development, including native PHP, MVC architecture, Laravel, JavaScript, React, Tailwind CSS, and Next.js. I also learned about Agile-Scrum method like requirements gathering and project roles from the class, although my groups and I were too lazy to implement the theories and just brute-forced everything :D. Alongside software development, I explored data cleaning, analysis, and machine learning.

  5. PT. GIT Solution Intern

    PT. GIT Solution Intern

    I interned at PT. GIT Solution as a Machine Learning intern. During this opportunity, I learned more from professionals about the data-related field: data cleaning, exploratory data analysis, dealing with imbalanced data, modeling, and more. In the end, I built my capstone project and presented it in front of the professionals.

  6. Final Projects (Thesis)

    Final Projects (Thesis)

    I think this was my most current challenging project, and I'm proud of the effort I put into it and the product I built. I worked on implementing and evaluating a deep-learning-based text retrieval system for public company governance assessment. I got an A for it.

  7. End-game college life

    End-game college life

    After years experiencing many moments and exploring different IT areas, I started reflecting on the direction I wanted to take professionally. I discovered (or maybe realized) my specific interest in this field: Software Engineering. For years I had been swept away by the current, switching focus to data, I realized that what had caught me on my first sight on IT field was software engineering. I'm fully aware that I still have a very lot to learn, but I genuinely enjoy the process of growing day by day and I'm sure that someday I'll become the person I want to be.

Technical Arsenal

Tech stack which I use on a daily basis.

data analytics

excel

python

scikitlearn

powerBI

AI
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tensorFlow

pyTorch

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frontend

react

nextJS

tailwind

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backend

laravel

flask

fastAPI

expressJS

database

postgreSQL

mySQL

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deployment

git

gitHub

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Featured Projects

A collection of my recent work, side projects, and experiments

Corporate Governance Audit Retrieval System Evaluation
Corporate Governance Audit Retrieval System Evaluation
An evaluation on retrieval system that proposed for eficiency improvement of corporate governance audit process
Retainly - Customer Churn Analysis and Prediction
Retainly - Customer Churn Analysis and Prediction
A web-app designed for analyzing dan predict customer churn behaviour
EfficientNetB0 Corn Disease Detection
EfficientNetB0 Corn Disease Detection
A web-app designed for detect disease in corn crop while also giving a LLM-based treatment suggestion
Bakso Arema Caknan Landingpage
Bakso Arema Caknan Landingpage
A landingpage of Bakso Arema Caknan made by wordpress
Students Performance Analysis and Prediction
Students Performance Analysis and Prediction
An analysis and prediction of students academic performance
Machine Learning Algorithms Comparation on Obesity Classifier
Machine Learning Algorithms Comparation on Obesity Classifier
A comparation on some machine learning algorithms on obesity classification study case
Satria Wijaya Wedding Organizer Landingpage
Satria Wijaya Wedding Organizer Landingpage
A landingpage of Satria Wijaya Wedding Organizer made by javascript framework