Revanantyo Dwigantara

SOFTWARE

REVANANTYO

DWIGANTARA

ENGINEER

Resume Linkedin Github Instagram

Transforming ideas into realities

TECH

STACK

EXPERIENCE

Youth Catalyst Foundation

June 2024 - Present

Volunteer, Tech Engineer

Indonesia, Remote

June 2024 - Present

Developed new registration system on Internnet using React.js

Developed frontend regarding integration between FlashCampus and Cal.com using Next.js

Haawks Decloud

December 2024 - December 2024

Freelance, Frontend Engineer

India, Remote

December 2024 - December 2024

Developed a dynamic and responsive landing page using React.js and Framer Motion

BEACON ITS

June 2024 - August 2024

Freelance, Full Stack Developer

Surabaya, Indonesia

June 2024 - August 2024

Analyzed system requirements regarding client requests and designed web application workflow for the competition registration website
Developed the system using Next.js and Firebase as the database

PT DOT Indonesia

March 2024 - June 2024

Internship, Frontend Engineer

Malang, Indonesia, Remote

March 2024 - June 2024

Worked on Kalla Property Management project to develop frontend and integrate with the backend
Contributed to DOT Revamp frontend development by making 3 pages using Next.js

PROJECT

https://cdn.sanity.io/images/bjqkvsg5/production/e9785749b68a11b210a02eafe575dc1c3a27938a-1024x768.png

Customer Relationship Management

Customer Relationship Management (CRM) is a project for my thesis. This project is using microservices architecture to integrate with ERP and SRM.

https://cdn.sanity.io/images/bjqkvsg5/production/f39923013cb325c6ff4eb559ebfc95c735f39337-1919x1074.webp

SkyAfra: Smart Steps to a Cleaner Earth

SkyAfra is a mobile application to detect and classify waste segregation. SkyAfra's model is built using MobileNet V3. This project is associated with Bangkit 2024.

Github

https://cdn.sanity.io/images/bjqkvsg5/production/d9a60842084f2404932522be9369c28b20af1d48-1280x768.png

E-Waku: Support Aspiring Fish Farmers

E-Waku is a project to help fish farmers to predict the success probability by providing information about their budget, fish, foods, etc. Built with Next.js, Firebase, and Tensorflow.js. This project is associated with Hackfest 2024.

Github

Website

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