Authored "Skin Cancer Classification Using Novel Fairness-Based Federated Learning" published in PeerJ 2025. 92% Accuracy in privacy-preserving AI.
Ex-NorthBay Solutions. API testing, JIRA sprint master, and Agile optimization.
High-speed Python crawlers for complex architectural data extraction.
Crafting bespoke digital experiences with modern stacks.
Awais Karni is a multidisciplinary technologist based in Rawalpindi, Pakistan. He specializes in Federated Learning research, high-end Web Development, and complex Data Scraping using Python. He holds a Master's degree from International Islamic University Islamabad.
Awais developed a novel Class-Weighted Federated Averaging algorithm to solve data imbalance issues in medical AI. His work, specifically on Skin Cancer Classification (Fitzpatrick 17k dataset), reached 92% accuracy while maintaining diagnostic fairness across diverse demographics.
Yes, Awais Karni has been a top-rated Digital Solutions Expert on Freelancer.com since 2015. He builds SEO-optimized, high-performance websites for international clients, specializing in custom UI/UX and robust back-end systems.