a computer science student who loves to learn things
Education
University: Universitas Indonesia
Major: Computer Science
Year: 2021 - 2025
Skills
Languages: Python ● Java ● Javascript ● Typescript ● Go ● C++ ● SQL
Backend Tools: Django ● Express ● Springboot ● Go ● Node JS ● FastAPI ● Nest JS
Frontend Tools: React ● Next JS ● Tailwind CSS ● Chakra UI ● Bootstrap
Development Tools: Git ● PostgreSQL ● MySQL ● MongoDB ● Docker ● GCP ● AWS ● Sonarcloud
Machine Learning Tools: Tensorflow ● Keras ● Scikit-learn ● PyTorch
Operating System: Windows ● Linux (Ubuntu) ● MacOS
Experiences
Teaching Assistant of Introduction to AI & Data Science (Spring 2024)
Faculty of Computer Science, University of Indonesia
Jan 2024 - Jun 2024
- Created weekly lab materials and hands-on related to pandas and numpy
- Assisted lecturer in grading students’ assignments.
Research Intern
Japan Advanced Institute of Science and Technology (JAIST)
Nov 2023 - Apr 2024
- Done research in the field of simultaneous speech translation using end-to-end models
- Aimed to develop a faster system for simultaneous speech translation (english – {german, Japanese, Chinese})
Teaching Assistant of Introduction to AI & Data Science (Fall 2023)
Faculty of Computer Science, University of Indonesia
Dec 2023 - Jan 2024
- Created weekly lab materials and hands-on related to pandas and numpy
- Assisted lecturer in grading students’ assignments.
Teaching Assistant of Programming Foundations Python (Spring 2023)
Faculty of Computer Science, University of Indonesia
Jan 2023 - Jul 2023
- Teached and assisted 11 students for weekly coding practice in lab
- Created weekly lab assignments about Python list
Teaching Assistant of Calculus (Fall 2022)
Faculty of Computer Science, University of Indonesia
Jan 2022 - Jan 2023
- Assisted in teaching and mentoring more than 100 Calculus students weekly
- Helped lecturers in grading students’ assignments and quizzes
Honor and Awards
[National Level] Finalist Find IT Data Analytics UGM 2024
Proposed a stacking machine learning model to solve the given problem about customer promotion predictions and achieved 81% accuracy score
[National Level] Finalist Data Quest Kemenkeu 2023
Leveraging satellite imagery and region income to estimate the economic growth for each region in Central Java.
[National Level] Finalist JOINTS Data Competitions UGM 2023
Developed a CNN to classify fire and non-fire images using ResNet architecture and achieved 95% accuracy score.
Volunteering Experiences
RISTEK Fasilkom UI
Lead of Data Science & Analytics SIG
Feb 2024 - Present
- Assisted the new member of DSA SIG to learning data science and machine learning
RISTEK Fasilkom UI
Teaching Assistant of Business Intelligence at SISTECH
Feb 2023 - Present
- Developed authentication and authorization using Gin & Gorm
- Created a CRUD API for announcement
- Implement dependency injection
RISTEK Fasilkom UI
Teaching Assistant of Business Intelligence at SISTECH
Jun. 2023 – Aug. 2023
- Guided and mentored 20 mentees along with other TAs