I am a Computer Vision Specialist and AI Engineer specializing in object detection, image processing, and deep learning, with a core focus on agricultural and industrial automation. I build and deploy robust, real-world AI detection systems using PyTorch and TensorFlow, specifically optimizing models for high-accuracy visual recognition and plant disease identification.
- Deep Learning & Computer Vision: Designing and fine-tuning state-of-the-art object detection workflows, particularly focusing on lightweight YOLO architectures for edge deployment.
- Agricultural AI: Engineering systems for automated crop counting, disease classification, and precision yield estimation.
- Mentorship & Community: Certified TensorFlow Developer and former Machine Learning Mentor at Bangkit Academy 2024H1, where I guided over 25 students through model training, optimization, and production deployment. I also served as a Laboratory Teaching Assistant at Mulawarman University, supporting undergraduate courses in AI, Machine Learning, Data Structures & Algorithms, and OOP.
I hold a Bachelor of Computer Science (B.CS. / S.Kom.) from Universitas Mulawarman. Beyond engineering, I actively contribute to academic research in applied AI. I have co-authored multiple Scopus-indexed papers, including Q1 journal submissions in Smart Agricultural Technology and Artificial Intelligence in Agriculture.



