CV
Education
- S-1 in Matematika, Institute Technology Sepuluh Nopember, Surabaya, Indonesia (Expected: August 2026)
- SMA, IPA, Banyuwangi, Indonesia (July 2020 - July 2022)
Projects
- Transformer-based Machine Translation from English to Indonesian
- Re-implemented the Transformer architecture as described in “Attention is All You Need” and trained on the Opus-100 dataset with 1 million sentence pairs using PyTorch, setting up distributed training across multiple GPUs for efficiency.
- GitHub Repository
- Cyberbullying Detection
- Developed a machine learning model to detect cyberbullying, employing end-to-end machine learning practices including distributed computing, data versioning, model versioning, and distributed dataset on the Google Cloud Platform. Deployed as a REST API using FastAPI.
- GitHub Repository
- ImageToTextElection
- Image-to-text model for extracting numerical results from election forms collected from various polling stations (TPS).
- GitHub Repository
- Weather Forecasting
- Developed a machine learning model to provide accurate weather predictions to support planning and scheduling for the relocation project of the capital city of Indonesia from Jakarta to East Kalimantan.
- GitHub Repository
- Fake News Detection
- Employed Convolutional Neural Networks (CNN) and Recurrent Neural Networks (RNN), incorporating three types of embeddings (token, character, and feature), for automatic detection of fake news.
- GitHub Repository
- News App
- A news application integrating the Public API NewsData.io with features such as Bookmark, Find News, Category News, Headline News, and International News. Includes Login and Signup features using Firebase Auth.
- GitHub Repository
- Movie App
- A movie recommendation application integrating the Public API IMDB with features such as Popular Movies, Upcoming Movies, and Movie Details.
- GitHub Repository
Achievements
Data Quest Airnology 2.0
- Finalist, Sep 2023
- Developed a machine learning model to provide accurate weather predictions
- Live coding session to developed automatic drugs logo labeling based on its package
Gammafest Data Science Competition
- Finalist, Oct 2024
- Developed a model to extract percentage of polling for every candidate in the form
- Present the strategy to tackle the problem and using explainable AI method to give a view how model generalizes
Brawijaya Startup Action
- Finalist, April 2023
- Create prototype of business model. The business model is CRM platform that integrates with AI Agent to help and assist every workflow in the workplace
- Create pitch deck and present them to investors and judges
Work Experience
- Owner, Forley Case, Banyuwangi, Indonesia (January 2019 - July 2019)
- Project Leader, Geprekin, Surabaya, Indonesia (September 2022 - October 2022)
Organizational Experience
- Event Planner Advisor, Technopreneurship Development Center, Surabaya (February 2024 - February 2025)
- Staff, Komunitas Tangan Di Atas Campus, Surabaya (May 2023 - May 2024)
- Staff, Forda ITS Banyuwangi (July 2023 - July 2024)
Certifications
- Udemy: The Complete Git Guide: Understand and Master Git and Github (January 2024 - February 2024)
- Udemy: Master Deep Learning for Computer Vision in Tensorflow (September 2023 - January 2024)
- Udemy: The Complete Android 14 Developer Course - Build 100 Apps (October 2023 - February 2024)
- Udemy: Feature Engineering for Machine Learning (March 2023 - May 2023)
- Udemy: Feature Selection for Machine Learning (May 2023 - August 2023)
- Udemy: Tensorflow Developer Course (April 2023 - August 2023)
- Udemy: Python for Data Science and Machine Learning Bootcamp (January 2023 - July 2023)
Skills
- Advanced Algorithms: Leverage Natural Language Processing (NLP) and Computer Vision to tackle complex problems.
- Performance Optimization: Fine-tune models with TensorFlow, Keras, and scikit-learn for peak efficiency.
- Data Mastery: Extract valuable insights from data using Pandas, NumPy, and visualization tools (Seaborn & Matplotlib).
- Full-Stack Development: Design, develop, and deploy end-to-end ML pipelines in the cloud (GCP) with distributed computing power (Dask).
- Automation Champion: Streamline workflows with MLflow for efficient machine learning lifecycle management. Implement robust version control with Git and DVC for project stability and reproducibility. Utilize Docker for seamless deployment of ML models.
- Lifelong Learner: Continuously explore cutting-edge advancements in machine learning through research and collaboration.
