Delian Hendardi

Front-end Developer | Back-end Developer | Machine Learning Engineer

I am a fresh graduate Bachelor of Computer Science from Bina Nusantara University majoring in Intelligence System (Artificial Intelligence) with one-year experience related to software development. I have an interest in software engineering, especially in web development, and data science, especially in machine learning. I have proficiency in using Javascript for front-end development and familiarity in using Laravel and CodeIgniter (PHP framework) for back-end development. I consider myself a person who is proper at problem-solving and planning, critical thinker, can work as either an individual or a team, has good communication, and is always curious about learning something especially related to software engineering, data science, and mathematics.

  Tangerang, Tangerang City, Banten, Indonesia

  [email protected]

https://delhen-resume.vercel.app      

Skills

Tech Stack

   Javascript      PHP      Python      C-Sharp      React (JS or Native)      Redux      Laravel      CodeIgniter    Bootstrap       Tensorflow       MySQL       Microsoft SQL Server       HTML & CSS

Tools

   Git      Visual Studio      NPM      Github      Sublime      Postman      Heroku

Education

2018 - 2022

Bina Nusantara University

Computer Science 

GPA 3.56/4.00

2015 - 2018

SMA Negeri 2 Kota Tangerang

Science

Work Experiences


Fullstack Web Developer

PT Adicipta Inovasi Teknologi

February 2021 - February 2022
Jakarta, Indonesia · Internship

Job Description:

  • Developing new features that a client requests based on application design for multi-finance business management, including bug fixing
  • Create a simple file validator client-based tool for sheet data checking using Javascript
  • Created query programming for stored procedure that being used on RDLC report using Microsoft SQL Server
  • Created asset document reallocation filling using stored procedure Microsoft SQL Server
  • Development using C-Sharp, ASP.NET, Microsoft SQL Server, and Team Foundation Server (TFS)

Outcome:

  • Completed four batches deployment to production
  • Make a developer's work easier when checking a sheet that has a bulk of row data

Web Programmer

BPJS Kesehatan

August 2021 - September 2021
Jakarta, Indonesia · Freelance

Job Description:

  • Developing web administration for participant management in Hackathon BPJS Kesehatan 2021
  • Developing a desktop web interface using AdminLTE
  • Developing data communication using CodeIgniter
  • Supporting in development of an API for examining evaluation results of Machine Learning model using Python and Flask

Outcome:

  • Got positive feedback for the examiner from participants of Machine Learning competition
  • Easier for administrators in validating the data of the participant that using manual validation before

Projects


July 2022

Anime Collections

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Developing a web application that is responsive for desktop and mobile device. User can see list of animes and add it to a collection. User also can manage the collection such as edit collection name, remove anime from the collection, and delete the collection. Development using React JS with Apollo GraphQL for retrieve data from GraphQL API.

June 2022

Amazon Product Reviews using Long Short-Term Memory (LSTM)

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Submission to be able to continue Dicoding class about machine learning for development. Create a deep learning model for classifying whether a review is labeled as a good or bad review. The model gives more than 90% for training and validation dataset that has 1600 reviews in total. I got 5 out of 5 for the submission because I fulfilled the optional criteria that they gave. The model is created using Tensorflow. 

June 2022

Convolutional Neural Network (CNN) for Image Classification

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Submission to complete Dicoding class about machine learning for a beginner. Create a deep learning model for image classification, i.e. determine whether the image is rock, paper, or scissor. The model gives more than 90% for training and validation dataset that has 2188 images in total. I got 5 out of 5 for the submission because I fulfilled the optional criteria that they gave. The model is created using Tensorflow.

March 2022

YukDokter Mobile App

Developing a mobile application for a user doctor who wants to process an order from a patient. Create a user interface for show list transactions, process transactions, and complete transactions. Development using React Native and CodeIgniter as an API.

September 2021

Reembolso

Mobile application that is developed for final thesis. The project is worked with three people. User can submit a reimbursement request and check whether it is accepted or rejected by defined roles. Development using Flutter and Laravel as an API.

January 2021

News Classification

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Final exam for Deep Learning college course. Create a machine learning model for classifying news categories. Using Recurrent Neural Network (RNN) with Long Short-Term Memory (LSTM). The model gives a relatively good result, even though the model was overfitted at the beginning of the epoch.

January 2021

Sentiment Analysis about Hate Speech Tweets

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Final exam for Information Retrieval college course. Analyzing whether hate speech tweet tends to be a negative sentiment. Using BERT pre-trained model for creating a machine learning model for supporting the analysis.

October 2020

Coffeez Web App

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This is a CRUD web application. CRUD in this case is for stock updating. The user interface is only compatible with the desktop. Development using Plain PHP and Materialize CSS.

August 2020

Ourmuzic

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Final submission to complete Dicoding class about Fundamental Web Development. Create a web application with themed music that you can search for music news and a music song and show its results. Web application using asynchronous API to retrieve the information. I completed the submission with a rate of 5 out of 5 because my web application fulfilled mandatory and some optional criteria.  

Certifications


Belajar Machine Learning untuk Pemula •  Dicoding Indonesia

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This class teaches how to create a machine learning model for beginners. In this class, I learned how to process data before being processed by the model, types of machine learning model, tuning parameters of the model, and creating a model using neural network with Tensorflow framework. To complete the class, I worked on a submission to classify whether an image is a rock, paper, or scissors. I completed the submission with a rate of 5 out of 5 because my model gave more than 90% accuracy and fulfilled some optional criteria. 

June 2022 - Expires June 2025

Hackathon BPJS Kesehatan 2021 Committee  •  BPJS Kesehatan

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Certificate for my involvement as the committee, especially in web development, in Hackathon BPJS Kesehatan 2021.

September 2021

Belajar Fundamental Front-End Web Development •  Dicoding Indonesia

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This class explains about fundamentals of creating a website application. I learned how to create a responsive web application that has a good visual on all devices, create a custom element, create asynchronous requests, and use Webpack to bundle all modules. To complete the class, I worked on a submission to create a web application that must use things that I have learned and be user-friendly.  I completed the submission with a rate of 5 out of 5 because my web application fulfilled mandatory and some optional criteria.

August 2020 - Expires August 2023