Diva Ristanto

SENIOR SOFTWARE ENGINEER

PT SINAR MAS MULTIARTHA, TBK•  January 2022 - Present•  JAKARTA, INDONESIA

Developed well-rated mobile applications: Nabila (4.7 stars from over 4k users, managing 5k active users) using Flutter. Emphasized user experience, secure connections, and rigorous testing for optimal performance. • Creating a PraktisPOS with 1k active users and monthly merchant transactions exceeding 2 billion Rupiah, leveraging Flutter and Java. Focused on enhancing user experience, ensuring secure transactions, and implementing rigorous testing protocols. • Identified and resolved code issues, resulting in 25% faster app performance. Implemented offline functionality and secure payments, enhancing security by 50% and reducing errors by 5%. • Created a React.js admin app that saved administrators 35% of their time and improved user management efficiency. • Collaborated with cross-functional teams to develop and implement innovative solutions, significantly enhancing user experience and increasing app ratings by 40%.

SENIOR SOFTWARE DEVELOPER

DJUBLI•  January 2021 - January 2022•  JAKARTA, INDONESIA

• Led a team of 6 developers in successfully completing a complex software project within a tight deadline, resulting in a 20% increase in users’ satisfaction and a 10% increase in revenue for the company. • Collaborated closely with the backend team to integrate APIs using Node.js and managed real-time communication with socket.io, resulting in a 25% improvement in system efficiency and responsiveness. • Implemented efficient code review processes, resulting in a 40% reduction in bugs and improved code quality. • Seamlessly integrated API connections using Node.js, managing real-time communications with socket.io, and achieving car price prediction accuracy of 93% using a linear regression algorithm.• Led a team of 6 developers in successfully completing a complex software project within a tight deadline, resulting in a 20% increase in users’ satisfaction and a 10% increase in revenue for the company. • Collaborated closely with the backend team to integrate APIs using Node.js and managed real-time communication with socket.io, resulting in a 25% improvement in system efficiency and responsiveness. • Implemented efficient code review processes, resulting in a 40% reduction in bugs and improved code quality. • Seamlessly integrated API connections using Node.js, managing real-time communications with socket.io, and achieving car price prediction accuracy of 93% using a linear regression algorithm.

FLUTTER FRONTEND DEVELOPER

PT KAPITAL KUSUMA PUTERA•  June 2019 - December 2020•  JAKARTA, INDONESIA

• Developed and launched a fully functional Flutter mobile application that received over 1k downloads within the first month of release. • Revolutionized app efficiency through innovative state management methods, halving loading times and significantly improving user satisfaction, resulting in a 15% boost in app retention rates. • Coordinated efforts with backend team and UI/UX designers to launch a redesigned app interface, increasing user retention by 25% and reducing customer support tickets by 15%

Multimedia Laboratory Assistant - Lead of software division

Institute of Technology PLN•  June 2018 - December 2019•  Jakarta

• Assist lecturers in facilitating learning, grading assignments, and providing practical materials to college students. • Actively participate in lecturer-assigned projects, designing and developing various applications. Maintain a local website using HTML, CSS, JavaScript, and PHP for backend support. • Support students in their academic journey, improving resource accessibility by 20% and reducing technical issues by 30%.

Institute of Technology – PLN

Computer Science & Engineering, Bachelor of Informatics Engineering•  September 2016 - November 2020•  GPA: 3.65

Conducted research on AI titled "Waste Classification using Convolutional Neural Network algorithm" developed by using Flutter and TensorFlow Lite technology with nearly 90% accuracy." Developed and implemented a model leveraging Flutter and TensorFlow Lite to classify types of waste. Achieved a high accuracy rate, demonstrating proficiency in AI technologies and problem-solving skills.