I am an IT enthusiast specializing in AI, IoT, and full-stack development. I love building practical solutions that combine computer vision, machine learning, and real-time systems to solve real-world problems. Currently I work on object detection models (YOLOv8, Mask R-CNN) and real-time systems, deploying on NVIDIA Jetson devices, and integrating web and desktop apps with IoT devices. I enjoy applying AI in manufacturing and bridging hardware and software to deliver end-to-end solutions.

Rahmawati, S.T

I am an IT enthusiast specializing in AI, IoT, and full-stack development. I love building practical solutions that combine computer vision, machine learning, and real-time systems to solve real-world problems. Currently I work on object detection models (YOLOv8, Mask R-CNN) and real-time systems, deploying on NVIDIA Jetson devices, and integrating web and desktop apps with IoT devices. I enjoy applying AI in manufacturing and bridging hardware and software to deliver end-to-end solutions.

Available to hire

I am an IT enthusiast specializing in AI, IoT, and full-stack development. I love building practical solutions that combine computer vision, machine learning, and real-time systems to solve real-world problems.

Currently I work on object detection models (YOLOv8, Mask R-CNN) and real-time systems, deploying on NVIDIA Jetson devices, and integrating web and desktop apps with IoT devices. I enjoy applying AI in manufacturing and bridging hardware and software to deliver end-to-end solutions.

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Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
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Language

Indonesian
Fluent
English
Intermediate

Work Experience

Research and Development, Computer Vision Engineer at PT. Enerjik Abadi Presisi (Plus Group)
September 1, 2024 - Present
Responsible for developing object detection models (YOLOv8 with PyTorch, ONNX Runtime, and TensorRT) and embedding them on NVIDIA Jetson Orin Nano. Built desktop applications with Electron.js, frontend with JavaScript, backend with Node.js and Python, and managed MySQL databases. Implemented real-time video conferencing using WebRTC and a real-time object detection pipeline using OpenCV and GStreamer. Established an IoT data exchange between web/desktop apps and peripherals (thermal printer, scanner) via websockets and REST API. Communicated detection results to STM32 actuators.
Research Assistant Intern at National Research and Innovation Agency
February 1, 2023 - October 1, 2023
Annotated 5,000 FLIR images with 10 object classes. Created object detection models using YOLOv5, YOLOv4 Tiny, Mask R-CNN, and YOLOv8. Collected and annotated 6,000 speed bump images with Intel RealSense D455 and VIA. Integrated distance estimation via stereo vision with a maximum range of 20 meters and embedded these capabilities on NVIDIA Jetson Nano.

Education

Bachelor of Computer Engineering at Universitas Pendidikan Indonesia
August 1, 2020 - August 1, 2024

Qualifications

Add your qualifications or awards here.

Industry Experience

Software & Internet, Manufacturing, Healthcare