Fadhel Haidar

Developed a RAG system for business consultants to enhance pitching processes, implemented a PDF extractor system for lab data storage, and created data mapping using embedding models and semantic search for customer data optimization.

Developed a patient analysis system using RAG and Claude sonnet model, created an OCR system for electronic health records, and standardized biomedical data using embedding models and semantic search.

Created a face analyzer with 85% accuracy using EfficientNet, developed a skin analysis service for telemedicine, and built an API for eKYC processes improving onboarding efficiency by 50%.

Developed a dental disease detection API using YOLOv8 and VGG16, established ocular disease classification services, and designed an invoice extraction system, significantly automating processes.

Grade: 3.71/4.00

Activities and societies: Served as a Computer Vision lab research assistant, created a classification model for monitoring chemical reactions, and published research on voice recognition and chemical reaction classification.

Bachelor Thesis (2022): Room Plate Name Detection System on Smart Wheelchair Control Using YOLOv5 and EasyOCR. Participated in the Indonesian Humanoid Robot Soccer Competition, developing a computer vision system to detect ball and goalpost with 95% accuracy and 0.5 seconds response time. Developed a voice recognition model with an accuracy of 89% and an F1-score of 0.8.