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🎓 Informatics Student at Telkom University, Bandung  ·  GPA 3.97 / 4.00

AI / ML Researcher  ·  Full-Stack Developer  ·  Practicum Assistant


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I'm Fathan Fardian Sanum, an Informatics undergraduate student at Telkom University, Bandung with a GPA of 3.97/4.00. My primary interest lies at the intersection of Artificial Intelligence and practical software engineering. I have hands-on experience in machine learning, NLP, and computer vision, and I enjoy transforming raw data into meaningful insights and building intelligent systems.

I actively serve as a Practicum Assistant for AI, OOP (Java), and Programming Algorithm (Go) courses at the Informatics Lab. Beyond teaching, I develop projects in object detection, sentiment analysis, and I build web applications with clean architecture and intuitive UI/UX.


🔴 Core Tech Stacks

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⚙️ Other Tech Stacks

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🔧 Tools

Tools


🔬 Research & Interests

  • Computer Vision - Real-time object detection and activity recognition using YOLO, RF-DETR, and MediaPipe
  • Natural Language Processing - Sentiment analysis and text classification using BERT, IndoBERT, TF-IDF, and word embeddings
  • Deep Learning - CNN, LSTM, transformer-based architectures with hyperparameter tuning
  • Multimodal AI - Integrating vision, TTS, and LLM APIs for inclusive and accessible learning systems
  • AI Ethics Education - Community engagement in promoting responsible and ethical AI usage

🚀 Featured Projects

Project Description Stack
BISIK Inclusive multimodal education platform with Gemini Vision API, Unsplash, and Google TTS for low-resource learners Next.js, Gemini API
Sentiment Analysis on TikTok Benchmarked 8 NLP models on 6,853 Indonesian comments; best: IndoBERT Acc 86.43%, F1 0.86 (GEMASTIK 2025) Python, HuggingFace
AI Surveillance System Real-time face detection, activity recognition & anomaly detection module Python, YOLO, MediaPipe
PPE Compliance Monitoring RF-DETR trained on SH17 (17 classes), outperformed YOLOv8 with mAP@50: 0.580, Macro F1: 0.606 Python, RF-DETR

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