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Adhika Gunadarma

Mobile Developer

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About Me

My name is Adhika Gunadarma. I have graduated in 2018 with Computer Science Degree. My focus of work has been around the website and mobile development field for about 2 years now. I have several projects building mobile applications using a cross-platform framework called Flutter. My current position also has been around mobile and web development but using a different language called Angular and Javascript.

I learned to work as a team that included both technical and non-technical environments. Here, I was able to ensure that the requirement is communicated clearly between the teams and would meet the client’s highest level of satisfaction. That being said, as my technical experiences in Informatics Engineering specified in mobile application development include basic knowledge in developing mobile apps, shipping production apps into both Play Store and App Store, implementing simple HTTP request and reactive programming to handle data flow service within the app.

Besides, I also had my hands on other projects besides mobile. I had handled several backend API services to generate endpoint that needed for multiple frameworks to use in the company. Also, I had tried my hands-on machine learning project to recognize a human face when I was doing my final project at the university. Right now, from my current work, I have successfully developed a dashboard page that generates a chart of data that needed to be displayed using ChartJs to improve the easiness and readability to overview the data.

My journey so far has been really fun, and I cannot wait to embrace the new adventure

Latest Project

Other Projects

Flutter Clock Challenge – Simple Flutter Clock

Mobile-based application that submitted and successfully won an award for completing analog clock challenge for a Lenovo Smart Clock contest held by Google where new and experienced developers can submit a project built using Flutter. Developed using Flutter and Dart as the main platform and language with Flare plugin for handling the animation.

Flutter Create Challenge – Let’s go Jog!

Mobile-based application that submitted and successfully won an award for completing a 5 kb size file challenge for a contest held by Google where new and experienced developers can submit a project built using Flutter. Developed using Flutter and Dart as the main platform and language with Flare plugin for handling the animation.

Face recognition system

Desktop based application that will recognize a face within a picture or image and will decide which person with the face. Developed using Histogram of Oriented Gradients Algorithm and AdaBoost Algorithm using Python as the main platform.