Fareha Adnan
Computer Vision Intern
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About
Developed an automated ice-block counting system for a real-world client using YOLOv8, BoT-SORT tracking and custom boundary-based counting logic, while handling occlusion across multiple CCTV camera angles. Benchmarked VLMs for video understanding, evaluating QWEN2.5-VL against alternatives for real-world deployment constraints. Built dashcam/autonomous-driving (ADAS) pipelines integrating object detection, tracking, speed & distance estimation, and lane segmentation using YOLOv8, CLRNet, CLRerNET, ByteTrack, Ultra Fast Lane Detection (UFLDs).
Experience
Computer Vision Intern - Matrix AE - Islamabad, Pakistan
(2026-06 - 2026-08)
- Developed an automated ice-block counting system for a real-world client using YOLOv8, BoT-SORT tracking and custom boundary-based counting logic, while handling occlusion across multiple CCTV camera angles.
- Benchmarked VLMs for video understanding, evaluating QWEN2.5-VL against alternatives for real-world deployment constraints.
- Built dashcam/autonomous-driving (ADAS) pipelines integrating object detection, tracking, speed & distance estimation, and lane segmentation using YOLOv8, CLRNet, CLRerNET, ByteTrack, Ultra Fast Lane Detection (UFLDs).
OOP Teaching Assistant - Forman Christian College (A Chartered University) - Lahore, Pakistan
(2025-02 - 2025-06)
- Assisted students with Object-Oriented Programming, debugging, and programming concepts through lab sessions and one-on-one guidance.
Education
Bachelor Of Science - Computer Science - Forman Christian College (A Chartered University) (2023 - Present)
