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Salsabila Shafira Adin

@salsabilashafiraadin

AI Engineer Intern at PTIndismartKreatifSolusi who developed real-time vehicle counting and speed estimation systems for traffic monitoring.

Indonesia
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At PTIndismartKreatifSolusi, I developed real-time vehicle counting and speed estimation systems for traffic monitoring projects with Dishub Jogja and ITB Campus. I also integrated CCTV/RTSP streams with visual analytics software and developed YOLO-based PPE detection models for K3 monitoring at PT Pertamina industrial facilities.

At CoE Smart EV, I deployed and evaluated a YOLOv11 object detection model on the myAGV robot using Raspberry Pi 4B, analyzing inference performance and hardware constraints in a Linux-based edge environment. My Diploma Computer Technology thesis at Telkom University also focused on implementing camera-based object detection using YOLOv11 on the myAGV robot.

Experience

Work history, roles, and key accomplishments

Telkom University logoTU

Teaching Assistant

Telkom University

Jan 2023 - Jan 2025 (2 years)

Mentored students in Algorithms & Programming, covering core programming concepts, logic building, data structures, and code debugging using C++. Assisted laboratory practicums in Digital & Control Systems.

Education

Degrees, certifications, and relevant coursework

Telkom University logoTU

Telkom University

Diploma, Computer Technology

2022 - 2025

Grade: 3.77/4.00

Diploma in Computer Technology with a GPA of 3.77/4.00. Thesis on implementation of a camera-based object detection system using YOLOv11 on the myAGV robot.

Tech stack

Software and tools used professionally

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