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Affaf Arif

@affafarif

Software developer building AI-powered applications, including a wearable that combines YOLO and Gemini LVLM for navigation assistance.

Pakistan

Message

I developed deep learning models at the National Center of Big Data and Cloud Computing, NED University, to classify and detect Mars surface features, reaching up to 94% accuracy. I also built a Flask REST API and React interface to deploy the models and visualize results.

My projects include an AI-driven wearable assistive device that combines YOLO object detection and Gemini LVLM scene understanding for real-time navigation assistance. I also developed full-stack applications for mood-based music recommendations and distributed e-commerce, using React, FastAPI, and PostgreSQL.

Experience

Work history, roles, and key accomplishments

System Engineering Intern

Multilynx

Dec 2025 - Mar 2026 (3 months)

Installed and configured VMware vSphere 8.0 environments, including ESXi hosts and vCenter Server Appliance, for enterprise virtualization infrastructure. Automated host patching and lifecycle management using vLCM, and configured vSAN, iSCSI storage, and NSX networking.

VSphere VMware ESXi VCenter Server Appliance Host Profiles Resource Pools VSphere Distributed Switch VSphere Lifecycle Manager vSAN ISCSI NSX

Machine Learning Intern

National Center of Big Data and Cloud Computing, NED Univers

Mar 2025 - Jun 2025 (3 months)

Developed and trained deep learning models (YOLO, Faster R-CNN, InceptionV3) using TensorFlow and PyTorch to classify and detect Mars surface features with up to 94% accuracy. Built a Flask REST API and React interface to deploy ML models for image upload, prediction, and visualization.

Deep Learning YOLO Faster RCNN InceptionV3 TensorFlow PyTorch Computer Vision Roboflow Flask React REST APIs

Education

Degrees, certifications, and relevant coursework

NED University of Engineering and Technology

Bachelor of Engineering, Computer and Information Systems Engineering

Bachelor of Engineering in Computer and Information Systems Engineering, expected graduation in June 2026. Relevant coursework includes Machine Learning, Computer Vision, AI, Software Engineering, and Internet Computing.