I am passionate about buiding stuff for the web. My projects range from full-stack applications, interactive frontends, REST APIs, etc.
Projects Completed
Clients Satisfied
Languages Learned
I am an experienced web app developer. Working mostly in JS frameworks like React, Next, Preact
I have been developing backend with ASP.net Core, Node, Python, and Deno
I dabble in AI research. I co-authored 2 papers in NLP and Computer Vision.I work mostly in Tensorflow framework and Keras Library.
2018-2022
Did 4 years Bachelor in Sciences in Computer Sciences at Binus University.
2016-2017
High school advanced level majoring in Physics, Mathematics, and chemistry.
01/2023-Present
I am working as a Freelance Developer building web stuff with tech stack : React, Preact, Tailwind, Deno, Fresh.
03/2022-12/2022
I am worked as a JavaScript Developer at Altonium with tech stack : React, Next, Tailwind.
02/2022-08/2022
I worked as a research assistant for Covid Research in medical imagery. Tech stack : Tensorflow, Keras, AWS, Google Colab.
02/2021-02/2022
I worked as an intern for NHS joint project with Earth Digital & RFIDiom. Tech stack : C#, .Net Core, Blazor, Xamarin.
09/2020-02/2021
I worked as a Teaching assistant for Database Systems at Binus University. Tech stack : SQL, MongoDB, SQL Server, GCP.
I built this project for my client who is building a recruitment website. The algorithm used predicts the next question administered to the examinee based on the examinee’s previous ability to answer prior questions, hence it is adaptive. It uses Item Response Theory and I used Catsim Library for the IRT.
Javascript Python ReactJS Flask
I worked on this project with the team at Altonium. It is an online casino where users can register, play games and bet online. In this project I participated in the design and development of the front-end. We leveraged some of the best features of NextJS like SEO optimization and static rendering.
Javascript ReactJS NextJS
In this project I explore the field of computer vision. I applied transfer learning to a fruit sorting problem based on image classification. I compared various architectures pretrained on Imagenet and provided a detailed comparison on the architectures (Resnet50, VGG16, and MobilenetV3-small. I published a paper in the 2022 ICISS Conference based on this research.
Python Tensorflow Keras Flask
This project was a challenge I took upon deciding to venture into computer vision. My supervisor advised me to write my own library like keras so that I could understand the obscure mechanisms of the Keras Library better when I use it to solve other problems. This is far from perfect but I managed to make it work on the Mnist Dataset.
Python Numpy
I co-authored a paper whose goal is to determine which algorithm performs better as compared to human generated extractive summaries on news dataset. The same dataset was used for both these algorithms and the summaries were evaluated using ROUGE Score. The result showed that TextRank yielded a better ROUGE score as compared to BERT. TextRank showed higher F-measure and recall while BERT had higher precision.
Python Tensorflow Keras
This app was my first introduction to the ReactJS framework. I was curious about the Framework and wanted to try it out. I developed a forum based application to simulate online forums which discuss issues of mental health. For the backend I used Java Springboot.
Java Javascript Java Springboot ReactJS
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