Computer Science graduate from FAST-NUCES with a unique blend of AI/NLP expertise and hands-on robotics leadership. Proven track record in developing explainable AI models (ExGEC) and leading robotics societies. Experienced in mentoring students and hosting technical workshops, focusing on breaking down complex engineering challenges into accessible, logical steps. Passionate about the intersection of AI, robotics, and STEM education.
Lahore, Pakistan
Project Portfolio
PERSONAL
Present
AI Pseudo Colouring Tool
Developer
I built an AI pseudo-colouring tool that uses supervised learning to colour user-submitted grayscale images. Trained on the Flowers dataset to handle various floral textures and shades.
Developed an explainable Grammar Correction Tool using the ExGEC framework and T5 transformer. The tool categorizes and explains 10 different types of errors, including punctuation, spelling, and grammar. Fine-tuned on BEA and CoNLL datasets to handle complex linguistic patterns and improve sentence structure.
Developed a full-stack Library Management System featuring admin and member portals. Overcame the technical challenge of configuring server-side logic to ensure seamless, secure communication between the browser and the database for real-time book tracking and fee processing.
Web DevelopmentDatabaseServer-side Logic
PERSONAL
Present
Pong Game
A classic Pong game implementation focusing on Object-Oriented Programming (OOP) principles and real-time graphics rendering using the SFML library.
C++SFMLOOP
PERSONAL
Present
National Robotics Competition - Autonomous Fruit Harvester
Lead Developer / Hardware Designer
Designed and built an autonomous robot for a national-level robotics competition. The robot utilized line-following logic and sensors to navigate to a 'fruit tree,' where it had to distinguish between ripe (orange marker) and unripe (green marker) fruit. The project involved significant mechanical optimization for the fruit collection mechanism to ensure reliability under competition conditions.