Muhammad Abubakar Farooq

PROFESSIONAL PROFILE Neutral academic record graduate with a foundation in machine learning, statistical modeling, a n d algorithm design, complemented by hands-on experience in applied AI and system-level projects. Proficient in modern machine learning frameworks, with practical exposure to data preparation, modeling, evaluation, and deployment. EDUCATION BE Electrical SEECS , Islamabad , 2.78 (2022) INTERNSHIP EXPERIENCE PCSIR Laboratories Complex 26-Jun-2023 - 29-Jul-2022 Completed a 4-week hands-on internship in the design and optimization of precision laboratory equipment, including laboratory ovens and thermostatic dry baths. Gained practical experience with temperature sensing, microcontroller-based PID control, and thermal regulation systems. Worked with relays, MOSFET drivers, signal conditioning circuits, and user-interface modules. Performed PCB-level testing and diagnostics, demonstrating strong understanding of embedded closed-loop systems. FINAL YEAR PROJECT Olive Yield Prediction using Computer Vision and Edge computing An AI-based system for automated olive yield estimation using computer vision and deep learning. The project employs a lightweight U-Net image segmentation model trained on a custom, manually annotated dataset to accurately detect olives under natural orchard conditions. Model performance was evaluated using Dice Score and mAP metrics, demonstrating improved robustness over traditional object detection approaches in complex scenes. The optimized model was deployed on an NVIDIA Jetson Nano for real- time inference from a live camera feed, enabling low-latency, edge-based agricultural monitoring. TECHNICAL EXPERTISE

Neutral academic record graduate with a foundation in machine learning, statistical modeling, a n d algorithm design, complemented by hands-on experience in applied AI and system-level projects. Proficient in modern machine learning frameworks, with practical exposure to data preparation, modeling, evaluation, and deployment.