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Redha A F
@redaalfajri
Industrial Automation and Robotics Professional
Indonesia
English, Indonesian
About me
I am a result-oriented Industrial Automation and Robotics professional with experience in designing innovative solutions for control systems and embedded systems. I specialize in developing IoT projects, VR/AR applications, and web-based systems to enhance technological integration. I possess strong problem-solving abilities and excel in cross-functional collaboration to achieve optimal results.
Skills
Redha A F
Offline •
Average response time: 1 hour
See my services
Embedded Systems & IoT
I will develop iot protorype, machine learning, hardware, software
Work experience
Research & Development Engineer – Tuberculosis (TBC) Detection System (Collaboration with BRIN
BRIN RI • Full-time
Mar 2026 - Present • 6 mos
Contributing to the development of a medical diagnostic device for tuberculosis detection in collaboration with BRIN. Supporting hardware integration, system design, and performance validation. Assisting in research testing and system optimization to meet medical technology standards
Universitas Pendidikan Indonesia
Freelance • 2 yrs 4 mos
AI Training Data Specialist
Jul 2026 - Aug 2026 • 1 mo
Dedicated Data Annotation and Computer Vision Specialist with hands-on experience in building scalable, semi-automated data labeling pipelines for machine learning models. Proven track record in orchestrating end-to-end dataset preparation—from custom web scraping and data cleaning to high-precision annotation and quality assurance. Key Responsibilities & Achievements: Semi-Automated Pipeline Development: Architected an iterative semi-automated data annotation pipeline using tools like AnyLabeling and Python scripts to streamline manual labeling, drastically reducing dataset preparation time for object detection tasks. High-Precision Image Annotation: Executed meticulous bounding-box annotations, class tagging, and dataset structuring for computer vision projects, ensuring strict adherence to labeling guidelines and high data consistency. Model Integration & Auto-Labeling: Integrated local and cloud-based models (trained via Google Colab) to perform automated pre-labeling, batch processing, and iterative model fine-tuning. Data Preprocessing & NLP Analysis: Developed custom web scraping tools and structured unstructured text data to execute sentiment analysis workflows using Python, RapidMiner, and Altair. Quality Assurance & Troubleshooting: Conducted rigorous Quality Assurance (QA) audits to identify and fix data imbalances, class ID mismatches in YOLO configurations, and label inaccuracies prior to model deployment.
VR/AR Developer – Educational Technology Project (Faraday’s Law Learning Media)
Nov 2023 - Feb 2026 • 2 yrs 3 mos
Assisted in the development of a VR/AR-based learning application to demonstrate Faraday’s Law concepts for vocational and high school students (SMK/SMA). Contributed to interactive 3D simulation design to enhance students’ understanding of electromagnetic induction. Supported system integration, testing, and optimization to ensure smooth user experience in educational environments.
