
3rd-year Informatics Engineering student with a robust background in computer science, software engineering, mathematics, and statistics. Passionate about machine learning research, I'm driven to excel as a machine learning engineer by solving challenging problems and continuously expanding my expertise.
I've developed deep learning models using TensorFlow, scikit-learn, PyTorch, and Mediapipe that have enhanced efficiency and helped users complete tasks more effectively. Additionally, I bring experience in web development, although my primary focus and strength lie in machine learning and AI. A fast learner with exceptional adaptability, I also excel in communication and teamwork, ensuring collaborative projects achieve impactful results.
Python
PHP
JavaScript
TensorFlow
Keras
PyTorch
Ultralytics YOLO
Scikit-Learn
OpenCV
Mediapipe
XGBoost
Flask
Pandas
NumPy
Matplotlib
Seaborn
Laravel
Astro JS
MySQL
Microsoft SQL Server
PT Graha Sarana Gresik | Gresik, Indonesia
Jan 2025 - Present
Developed an information system website to digitalize mailing activity within the company. The website includes features such as sending, receiving, and tracking mail status. The system is designed to improve efficiency and reduce the use of paper in the company. Making a hand tracking system using OpenCV and Mediapipe to detect hand gestures. The system is designed to be a mouse replacement, allowing users to control the computer using hand gestures. The system is designed to improve accessibility and reduce the use of traditional input devices such as a mouse or keyboard in a warehouse.
FaceCount
Mobile Apps
Machine Learning Engineer & Mobile Developer
A mobile application for face counting based by gender. Our target is an event organizers which directly interacting with the participants. It's an efficient way to count and grouping event participants based on their gender for evaluation rather than doing it manually.
Contributors
Flutter
Firebase
Python
NumPy
TensorFlow
Keras
Matplotlib
Seaborn
OpenCV
Flask
Docker
Posyandu Information System
Website App
Project Manager & Fullstack Developer
Sistem Informasi Posyandu provides a lot of information about Posyandu Delima Merah in Polehan, Malang. Not only that, the main feature of this information system is to digitalize the health screening process for babies and elderly conducted by the Posyandu Delima Merah cadres. Developed with Laravel and Tailwind CSS as our framework.
Contributors
PHP
Laravel
JavaScript
TailwindCSS
MySQL
Face Shape Classification (Ongoing)
Deep Learning Project (Personal)
Machine Learning Engineer
A neural network-based system designed to classify face shapes, providing tailored styling suggestions for optimal glasses frames and hairstyles.
Python
PyTorch
OpenCV
Ultralytics YOLO
Matplotlib
Scikit-Learn
Seaborn
Real-Time Emotion Detection
Deep Learning Project (Personal)
Machine Learning Engineer
A deep learning model to detect emotions from facial expressions in real time using a CNN-based approach, aimed at the early identification of potential mental health issues to enable timely intervention and support.
Python
NumPy
TensorFlow
Keras
OpenCV
Matplotlib
Scikit-Learn
Seaborn
Survival Prediction Using Titanic Dataset
Machine Learning Project (Personal)
Machine Learning Engineer
Applied machine learning techniques to predict passenger survival using feature engineering and classification models.
Python
NumPy
Pandas
Matplotlib
Scikit-Learn
Seaborn
XGBoost
Let's Connect and Create Something Amazing
I'm always excited to collaborate, whether it's for a project, a discussion, or just exchanging ideas. Don't hesitate to reach out-I'm here to connect and innovate together!