Rasyad B.

Key Skills

Software

Roboflow

LabelImg

Top Subject Matter

Dental image annotation (teeth and gums)

Legal Services & Contract Review

Regulatory Compliance & Risk Analysis

Top Data Types

Text

Image

Document

Top Task Types

Bounding Box

Classification

Segmentation

Freelancer Overview

AI Engineer Intern, GAIA Dental Studio (Dental image labeling). Brings 6+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Labelme. Education includes Bachelor of Information Systems, Hasanuddin University. AI-training focus includes data types such as Medical, DICOM, and Text and labeling workflows including Bounding Box, Classification, and Segmentation.

Labeling Experience

AI Engineer Intern, GAIA Dental Studio (Dental image labeling)

Bounding Box

Performed supervised annotation on dental images using both bounding boxes for teeth and polygons for gum areas. Produced consistent tooth numbering and missing-tooth labeling to improve dataset quality for segmentation and detection workflows. Supported downstream model serving by preparing labeled assets used to train and evaluate Keras-based models. • Used bounding boxes to mark teeth regions. • Drew polygon annotations for gum areas. • Labeled 1200+ dental images to increase dataset accuracy. • Verified labeling outcomes to improve segmentation performance by 20–30%.

2024 - 2024

AI Engineer - Pertamina Royal Brawijaya Hospital

TextClassification

Designed and developed a patient safety incident reporting web application using GPT-based LLM technology. Implemented guided text and voice input for nurses to transform narratives into standardized medical reporting formats. Built incident classification and risk grading workflows to support immediate action recommendations based on regulatory-aligned categories. • Developed a modular Node.js backend API with 10+ core modules for incident management • Integrated secure authentication and authorization for the reporting workflow • Managed deployment lifecycle with Docker and VPS to ensure performance and availability • Ensured compliance with Minister of Health Regulation No. 11 of 2017 in application design.

2023 - 2023

AI Engineer Intern - GAIA Dental Studio

ImageBounding BoxSegmentation

Assisted with dataset preparation and ML service development for dental image analysis workflows. Labeled dental images by creating bounding boxes for teeth and polygons for gum areas to improve segmentation quality. Built Flask API endpoints to serve Keras-based multi-class and partial-binary models for efficient prediction delivery. • Produced labeling outputs to achieve higher dataset accuracy • Implemented model-serving APIs to support downstream applications • Improved missing-tooth detection accuracy and segmentation performance • Supported efficient inference through model endpoint design.

2020 - 2020

Education

Work History