Wili Nugraha

Skills

- Basic understanding of several programming languages such as golang, java, and python.
- Able to process and use database systems such as mongodb, postgreSQL, and others.
- Proficient in machine learning, especially in the field of computer vision such as using the YOLOv8 model to automatically detect an object in images and videos.
- Proficiency to use Microsoft Office tools and Google Workspaces.
- Able to use Apache NiFi as software for data migration.
- Detail oriented for data review and analysis.

About

Results-driven Computer and Informatics Engineering graduate from Politeknik Negeri Bandung (D-IV Informatics Engineering) with a strong foundation in software development and machine learning. Highly skilled in backend development and computer vision, with hands-on experience gained through multiple industry collaborations and internships at PT LEN Industri (Persero).

Proficient in backend technologies such as Golang, Java, and Python, and experienced in using PostgreSQL and MongoDB for efficient data management. Demonstrated ability to build and test web-based services, implement secure and scalable APIs, and perform database migration using Apache NiFi.

In the field of machine learning, contributed to research improving object detection accuracy using YOLOv8 for satellite image analysis, applying data preprocessing, augmentation, and hyperparameter tuning techniques. Adept at following Software Development Life Cycle (SDLC) and Machine Learning Life Cycle (MLLC) methodologies to ensure code quality and model performance.

Currently working as a Language Data and Quality Reviewer at Volga Partners, ensuring AI-generated data quality through detailed evaluation and feedback. Previously served as AI Trainer (Freelancer) at Outlier and Alignerr, focusing on testing and refining AI model outputs.

Recognized for strong analytical thinking, collaboration skills in Agile/Scrum environments, and a commitment to continuous learning. Certified in Java Programming, Supervised Machine Learning (DeepLearning.AI), and YOLOv8 Performance Improvement, demonstrating both technical versatility and a passion for innovation in AI and software engineering.